Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors - Yunchao Liu; Rocco Moretti; Yu Wang; Ha Dong; Bailu Yan; Bobby Bodenheimer; Tyler Derr; Jens Meiler (J. Chem. Inf. Model., 2025)

Fairness and Diversity in Recommender Systems: A Survey - Yuying Zhao; Yu Wang; Yunchao Liu; Xueqi Cheng; Charu C. Aggarwal; Tyler Derr (ACM Trans. Intell. Syst. Technol., 2025)

Personalization of Large Language Models: A Survey - Zhehao Zhang; Ryan A. Rossi; Branislav Kveton; Yijia Shao; Diyi Yang; Hamed Zamani; Franck Dernoncourt; Joe Barrow; Tong Yu; Sungchul Kim; Ruiyi Zhang; Jiuxiang Gu; et al. (Trans. Mach. Learn. Res., 2025)

Edges Matter: An Analysis of Graph Time-Series Representations for Temporal Networks - Hongjie Chen; Ryan A. Rossi; Nesreen K. Ahmed; Namyong Park; Yu Wang; Tyler Derr; Hoda Eldardiry (IEEE Trans. Netw. Sci. Eng., 2025)

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective - Bo Ni; Yu Wang; Lu Cheng; Erik Blasch; Tyler Derr (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, 2025)

Signed Network Dataset Repository: Extracting Signed Relations From Social Networks - Aikta Arya; Pradumn Kumar Pandey; Tyler Derr (IEEE International Conference on Communications, ICC 2025, Montreal, QC, Canada, June 8-12, 2025, 2025)

Real-Time Freeway Traffic Anomalous Event Detection System via Radar Detector Sensors - Austin Coursey; Junyi Ji; Zhiyao Zhang; William Barbour; Marcos Quiñones-Grueiro; Tyler Derr; Gautam Biswas; Daniel B. Work (Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems, ICCPS 2025 (with CPS-IoT Week 2025), Irvine, CA, USA, May 6-9, 2025, 2025)

A Large-scale Training Paradigm for Graph Generative Models - Yu Wang; Ryan A. Rossi; Namyong Park; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

BTS: A Comprehensive Benchmark for Tie Strength Prediction - Xueqi Cheng; Catherine Yang; Yuying Zhao; Yu Wang; Hamid Karimi; Tyler Derr (Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, KDD 2025, Toronto ON, Canada, August 3-7, 2025, 2025)

Machine Learning on Graphs in the Era of Generative Artificial Intelligence - Yu Wang; Yu Zhang; Zhichun Guo; Harry Shomer; Haoyu Han; Tyler Derr; Nesreen K. Ahmed; Mahantesh Halappanavar; Jiliang Tang (Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, KDD 2025, Toronto ON, Canada, August 3-7, 2025, 2025)

Demystifying the Power of Large Language Models in Graph Generation - Yu Wang; Ryan A. Rossi; Namyong Park; Nesreen K. Ahmed; Danai Koutra; Franck Dernoncourt; Tyler Derr (Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29 - May 4, 2025, 2025)

Edge Classification on Graphs: New Directions in Topological Imbalance - Xueqi Cheng; Yu Wang; Yunchao Liu; Yuying Zhao; Charu C. Aggarwal; Tyler Derr (Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025, 2025)

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey - Bo Ni; Zheyuan Liu; Leyao Wang; Yongjia Lei; Yuying Zhao; Xueqi Cheng; Qingkai Zeng; Luna Dong; Yinglong Xia; Krishnaram Kenthapadi; Ryan A. Rossi; Franck Dernoncourt; et al. (CoRR, 2025)

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation - Yuying Zhao; Xiaodong Yang; Huiyuan Chen; Xiran Fan; Yu Wang; Yiwei Cai; Tyler Derr (CoRR, 2025)

Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs - Yuying Zhao; Yu Wang; Xueqi Cheng; Anne M. Tumlin; Yunchao Liu; Damin Xia; Meng Jiang; Tyler Derr (CoRR, 2025)

Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation - Leyao Wang; Xutao Mao; Xuhui Zhan; Yuying Zhao; Bo Ni; Ryan A. Rossi; Nesreen K. Ahmed; Tyler Derr (CoRR, 2025)

Mitigating Distribution Shift in Graph-Based Android Malware Classification via Function Metadata and LLM Embeddings - Ngoc N. Tran; Anwar Said; Waseem Abbas; Tyler Derr; Xenofon D. Koutsoukos (CoRR, 2025)

Inverse-LLaVA: Eliminating Alignment Pre-training Through Text-to-Vision Mapping - Xuhui Zhan; Tyler Derr (CoRR, 2025)

Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction - Qinwen Ge; Roza G. Bayrak; Anwar Said; Catie Chang; Xenofon D. Koutsoukos; Tyler Derr (CoRR, 2025)

Scaffold-Aware Generative Augmentation and Reranking for Enhanced Virtual Screening - Xin Wang; Yu Wang; Yunchao Liu; Jens Meiler; Tyler Derr (CoRR, 2025)

Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks - Haowei Fu; Bo Ni; Han Xu; Kunpeng Liu; Dan Lin; Tyler Derr (CoRR, 2025)

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications - Yi Zhang; Yuying Zhao; Zhaoqing Li; Xueqi Cheng; Yu Wang; Olivera Kotevska; Philip S. Yu; Tyler Derr (IEEE Trans. Knowl. Data Eng., 2024)

Knowledge Graph Prompting for Multi-Document Question Answering - Yu Wang; Nedim Lipka; Ryan A. Rossi; Alexa F. Siu; Ruiyi Zhang; Tyler Derr (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation - Yuying Zhao; Yu Wang; Yi Zhang; Pamela J. Wisniewski; Charu C. Aggarwal; Tyler Derr (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social Networks - Soheila Farokhi; Arash Azizian Foumani; Xiaojun Qi; Tyler Derr; Hamid Karimi (Social Networks Analysis and Mining - 16th International Conference, ASONAM 2024, Rende, Italy, September 2-5, 2024, Proceedings, Part I, 2024)

Topology-aware Retrieval Augmentation for Text Generation - Yu Wang; Nedim Lipka; Ruiyi Zhang; Alexa F. Siu; Yuying Zhao; Bo Ni; Xin Wang; Ryan A. Rossi; Tyler Derr (Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, 2024)

Data Quality-aware Graph Machine Learning - Yu Wang; Kaize Ding; Xiaorui Liu; Jian Kang; Ryan A. Rossi; Tyler Derr (Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, 2024)

FairNNV: The Neural Network Verification Tool For Certifying Fairness - Anne M. Tumlin; Diego Manzanas Lopez; Preston Robinette; Yuying Zhao; Tyler Derr; Taylor T. Johnson (Proceedings of the 5th ACM International Conference on AI in Finance, ICAIF 2024, Brooklyn, NY, USA, November 14-17, 2024, 2024)

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance - Yu Wang; Tong Zhao; Yuying Zhao; Yunchao Liu; Xueqi Cheng; Neil Shah; Tyler Derr (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection - Austin Coursey; Junyi Ji; Marcos Quiñones-Grueiro; William Barbour; Yuhang Zhang; Tyler Derr; Gautam Biswas; Daniel B. Work (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Robust Graph Neural Networks via Unbiased Aggregation - Zhichao Hou; Ruiqi Feng; Tyler Derr; Xiaorui Liu (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking - Yunchao Liu; Ha Dong; Xin Wang; Rocco Moretti; Yu Wang; Zhaoqian Su; Jiawei Gu; Bobby Bodenheimer; Charles David Weaver; Jens Meiler; Tyler Derr (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

The 5th International Workshop on Machine Learning on Graphs (MLoG) - Tyler Derr; Yao Ma; Kaize Ding; Tong Zhao; Nesreen K. Ahmed (Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024, 2024)

Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation - Yu Wang; Amin Javari; Janani Balaji; Walid Shalaby; Tyler Derr; Xiquan Cui (Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024, 2024)

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness - Yuying Zhao; Minghua Xu; Huiyuan Chen; Yuzhong Chen; Yiwei Cai; Rashidul Islam; Yu Wang; Tyler Derr (Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024, 2024)

Knowledge Graph-based Session Recommendation with Adaptive Propagation - Yu Wang; Amin Javari; Janani Balaji; Walid Shalaby; Tyler Derr; Xiquan Cui (CoRR, 2024)

Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation - Yuying Zhao; Yu Wang; Yi Zhang; Pamela J. Wisniewski; Charu C. Aggarwal; Tyler Derr (CoRR, 2024)

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness - Yuying Zhao; Minghua Xu; Huiyuan Chen; Yuzhong Chen; Yiwei Cai; Rashidul Islam; Yu Wang; Tyler Derr (CoRR, 2024)

Augmenting Textual Generation via Topology Aware Retrieval - Yu Wang; Nedim Lipka; Ruiyi Zhang; Alexa F. Siu; Yuying Zhao; Bo Ni; Xin Wang; Ryan A. Rossi; Tyler Derr (CoRR, 2024)

Large Generative Graph Models - Yu Wang; Ryan A. Rossi; Namyong Park; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (CoRR, 2024)

Edge Classification on Graphs: New Directions in Topological Imbalance - Xueqi Cheng; Yu Wang; Yunchao Liu; Yuying Zhao; Charu C. Aggarwal; Tyler Derr (CoRR, 2024)

FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection - Austin Coursey; Junyi Ji; Marcos Quiñones-Grueiro; William Barbour; Yuhang Zhang; Tyler Derr; Gautam Biswas; Daniel B. Work (CoRR, 2024)

A Survey of Mamba - Haohao Qu; Liangbo Ning; Rui An; Wenqi Fan; Tyler Derr; Hui Liu; Xin Xu; Qing Li (CoRR, 2024)

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective - Bo Ni; Yu Wang; Lu Cheng; Erik Blasch; Tyler Derr (CoRR, 2024)

Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs - Leyao Wang; Yu Wang; Bo Ni; Yuying Zhao; Tyler Derr (CoRR, 2024)

A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions - Xueqi Cheng; Catherine Yang; Yuying Zhao; Yu Wang; Hamid Karimi; Tyler Derr (CoRR, 2024)

Personalization of Large Language Models: A Survey - Zhehao Zhang; Ryan A. Rossi; Branislav Kveton; Yijia Shao; Diyi Yang; Hamed Zamani; Franck Dernoncourt; Joe Barrow; Tong Yu; Sungchul Kim; Ruiyi Zhang; Jiuxiang Gu; et al. (CoRR, 2024)

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking - Yunchao Liu; Ha Dong; Xin Wang; Rocco Moretti; Yu Wang; Zhaoqian Su; Jiawei Gu; Bobby Bodenheimer; Charles David Weaver; Jens Meiler; Tyler Derr (CoRR, 2024)

Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles - Wenqi Fan; Xiangyu Zhao; Qing Li; Tyler Derr; Yao Ma; Hui Liu; Jianping Wang; Jiliang Tang (IEEE Trans. Knowl. Data Eng., 2023)

Fairness and Explainability: Bridging the Gap towards Fair Model Explanations - Yuying Zhao; Yu Wang; Tyler Derr (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery - Yunchao Liu; Yu Wang; Oanh Vu; Rocco Moretti; Bobby Bodenheimer; Jens Meiler; Tyler Derr (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

An Analysis of the Dynamics of Ties on Twitter - Kiana Kheiri; Muhammad Fawad Akbar Khan; Tyler Derr; Hamid Karimi (IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023, 2023)

Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation - Anwar Said; Mudassir Shabbir; Tyler Derr; Waseem Abbas; Xenofon D. Koutsoukos (International Conference on Machine Learning and Applications, ICMLA 2023, Jacksonville, FL, USA, December 15-17, 2023, 2023)

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics - Anwar Said; Roza G. Bayrak; Tyler Derr; Mudassir Shabbir; Daniel Moyer; Catie Chang; Xenofon D. Koutsoukos (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

The 3rd International Workshop on Machine Learning on Graphs (MLoG) - Tyler Derr; Yao Ma; Benedek Rozemberczki; Neil Shah; Shirui Pan (Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023, 2023)

Collaboration-Aware Graph Convolutional Network for Recommender Systems - Yu Wang; Yuying Zhao; Yi Zhang; Tyler Derr (Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023, 2023)

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics - Anwar Said; Roza G. Bayrak; Tyler Derr; Mudassir Shabbir; Daniel Moyer; Catie Chang; Xenofon D. Koutsoukos (CoRR, 2023)

Fairness and Diversity in Recommender Systems: A Survey - Yuying Zhao; Yu Wang; Yunchao Liu; Xueqi Cheng; Charu C. Aggarwal; Tyler Derr (CoRR, 2023)

Knowledge Graph Prompting for Multi-Document Question Answering - Yu Wang; Nedim Lipka; Ryan A. Rossi; Alexa F. Siu; Ruiyi Zhang; Tyler Derr (CoRR, 2023)

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications - Yi Zhang; Yuying Zhao; Zhaoqing Li; Xueqi Cheng; Yu Wang; Olivera Kotevska; Philip S. Yu; Tyler Derr (CoRR, 2023)

A Survey of Graph Unlearning - Anwar Said; Tyler Derr; Mudassir Shabbir; Waseem Abbas; Xenofon D. Koutsoukos (CoRR, 2023)

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance - Yu Wang; Tong Zhao; Yuying Zhao; Yunchao Liu; Xueqi Cheng; Neil Shah; Tyler Derr (CoRR, 2023)

Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation - Anwar Said; Mudassir Shabbir; Tyler Derr; Waseem Abbas; Xenofon D. Koutsoukos (CoRR, 2023)

Robust Graph Neural Networks via Unbiased Aggregation - Ruiqi Feng; Zhichao Hou; Tyler Derr; Xiaorui Liu (CoRR, 2023)

Inferring EHR Utilization Workflows through Audit Logs - Xinmeng Zhang; Yuying Zhao; Chao Yan; Tyler Derr; You Chen (AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022, 2022)

Imbalanced Graph Classification via Graph-of-Graph Neural Networks - Yu Wang; Yuying Zhao; Neil Shah; Tyler Derr (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, 2022)

PAS: Privacy Algorithms in Systems - Philip S. Yu; Olivera Kotevska; Tyler Derr (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, 2022)

Enhancing Individual Fairness through Propensity Score Matching - Hamid Karimi; Muhammad Fawad Akbar Khan; Haochen Liu; Tyler Derr; Hui Liu (9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022, 2022)

Degree-Related Bias in Link Prediction - Yu Wang; Tyler Derr (IEEE International Conference on Data Mining Workshops, ICDM 2022 - Workshops, Orlando, FL, USA, November 28 - Dec. 1, 2022, 2022)

THINK: Temporal Hypergraph Hyperbolic Network - Shivam Agarwal; Ramit Sawhney; Megh Thakkar; Preslav Nakov; Jiawei Han; Tyler Derr (IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022, 2022)

Decision Boundaries of Deep Neural Networks - Hamid Karimi; Tyler Derr (21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022, 2022)

On Structural Explanation of Bias in Graph Neural Networks - Yushun Dong; Song Wang; Yu Wang; Tyler Derr; Jundong Li (KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022, 2022)

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage - Yu Wang; Yuying Zhao; Yushun Dong; Huiyuan Chen; Jundong Li; Tyler Derr (KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022, 2022)

ChemicalX: A Deep Learning Library for Drug Pair Scoring - Benedek Rozemberczki; Charles Tapley Hoyt; Anna Gogleva; Piotr Grabowski; Klas Karis; Andrej Lamov; Andriy Nikolov; Sebastian Nilsson; Michaël Ughetto; Yu Wang; Tyler Derr; Benjamin M. Gyori (KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022, 2022)

ChemicalX: A Deep Learning Library for Drug Pair Scoring - Benedek Rozemberczki; Charles Tapley Hoyt; Anna Gogleva; Piotr Grabowski; Klas Karis; Andrej Lamov; Andriy Nikolov; Sebastian Nilsson; Michaël Ughetto; Yu Wang; Tyler Derr; Benjamin M. Gyori (CoRR, 2022)

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage - Yu Wang; Yuying Zhao; Yushun Dong; Huiyuan Chen; Jundong Li; Tyler Derr (CoRR, 2022)

On Structural Explanation of Bias in Graph Neural Networks - Yushun Dong; Song Wang; Yu Wang; Tyler Derr; Jundong Li (CoRR, 2022)

Collaboration-Aware Graph Convolutional Networks for Recommendation Systems - Yu Wang; Yuying Zhao; Yi Zhang; Tyler Derr (CoRR, 2022)

Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations - Yuying Zhao; Yu Wang; Tyler Derr (CoRR, 2022)

Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach - Ramit Sawhney; Shivam Agarwal; Arnav Wadhwa; Tyler Derr; Rajiv Ratn Shah (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

Deep Adversarial Network Alignment - Tyler Derr; Hamid Karimi; Xiaorui Liu; Jiejun Xu; Jiliang Tang (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

Graph Feature Gating Networks - Wei Jin; Xiaorui Liu; Yao Ma; Tyler Derr; Charu C. Aggarwal; Jiliang Tang (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

Tree Decomposed Graph Neural Network - Yu Wang; Tyler Derr (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries - Aaron Brookhouse; Tyler Derr; Hamid Karimi; H. Russell Bernard; Jiliang Tang (HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021 - 2 September 2021, 2021)

Interpretable Visual Understanding with Cognitive Attention Network - Xuejiao Tang; Wenbin Zhang; Yi Yu; Kea Turner; Tyler Derr; Mengyu Wang; Eirini Ntoutsi (Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I, 2021)

Attacking Black-box Recommendations via Copying Cross-domain User Profiles - Wenqi Fan; Tyler Derr; Xiangyu Zhao; Yao Ma; Hui Liu; Jianping Wang; Jiliang Tang; Qing Li (37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021, 2021)

Graph Adversarial Attack via Rewiring - Yao Ma; Suhang Wang; Tyler Derr; Lingfei Wu; Jiliang Tang (KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021, 2021)

Node Similarity Preserving Graph Convolutional Networks - Wei Jin; Tyler Derr; Yiqi Wang; Yao Ma; Zitao Liu; Jiliang Tang (WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021, 2021)

Graph Feature Gating Networks - Wei Jin; Xiaorui Liu; Yao Ma; Tyler Derr; Charu C. Aggarwal; Jiliang Tang (CoRR, 2021)

Interpretable Visual Understanding with Cognitive Attention Network - Xuejiao Tang; Wenbin Zhang; Yi Yu; Kea Turner; Tyler Derr; Mengyu Wang; Eirini Ntoutsi (CoRR, 2021)

Tree Decomposed Graph Neural Network - Yu Wang; Tyler Derr (CoRR, 2021)

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification - Yu Wang; Charu Aggarwal; Tyler Derr (CoRR, 2021)

Imbalanced Graph Classification via Graph-of-Graph Neural Networks - Yu Wang; Yuying Zhao; Neil Shah; Tyler Derr (CoRR, 2021)

Link and interaction polarity predictions in signed networks - Tyler Derr; Zhiwei Wang; Jamell Dacon; Jiliang Tang (Soc. Netw. Anal. Min., 2020)

Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest - Hamid Karimi; Tyler Derr; Kaitlin T. Torphy; Kenneth A. Frank; Jiliang Tang (Artificial Intelligence in Education - 21st International Conference, AIED 2020, Ifrane, Morocco, July 6-10, 2020, Proceedings, Part II, 2020)

Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network - Hamid Karimi; Tyler Derr; Jiangtao Huang; Jiliang Tang (Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020, Fully virtual conference, July 10-13, 2020, 2020)

Learning from Incomplete Labeled Data via Adversarial Data Generation - Wentao Wang; Tyler Derr; Yao Ma; Suhang Wang; Hui Liu; Zitao Liu; Jiliang Tang (20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020, 2020)

Deep Graph Learning: Foundations, Advances and Applications - Yu Rong; Tingyang Xu; Junzhou Huang; Wenbing Huang; Hong Cheng; Yao Ma; Yiqi Wang; Tyler Derr; Lingfei Wu; Tengfei Ma (KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020, 2020)

Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest - Hamid Karimi; Kaitlin T. Torphy; Tyler Derr; Kenneth A. Frank; Jiliang Tang (L@S'20: Seventh ACM Conference on Learning @ Scale, Virtual Event, USA, August 12-14, 2020, 2020)

Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest - Hamid Karimi; Kaitlin T. Torphy; Tyler Derr; Kenneth A. Frank; Jiliang Tang (IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020, Takamatsu, Japan, December 8-11, 2020, 2020)

Epidemic Graph Convolutional Network - Tyler Derr; Yao Ma; Wenqi Fan; Xiaorui Liu; Charu C. Aggarwal; Jiliang Tang (WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020, 2020)

Network Analysis with Negative Links - Tyler Derr (WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020, 2020)

ROSE: Role-based Signed Network Embedding - Amin Javari; Tyler Derr; Pouya Esmailian; Jiliang Tang; Kevin Chen-Chuan Chang (WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020)

Attacking Black-box Recommendations via Copying Cross-domain User Profiles - Wenqi Fan; Tyler Derr; Xiangyu Zhao; Yao Ma; Hui Liu; Jianping Wang; Jiliang Tang; Qing Li (CoRR, 2020)

Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models - Haochen Liu; Zhiwei Wang; Tyler Derr; Jiliang Tang (CoRR, 2020)

Self-supervised Learning on Graphs: Deep Insights and New Direction - Wei Jin; Tyler Derr; Haochen Liu; Yiqi Wang; Suhang Wang; Zitao Liu; Jiliang Tang (CoRR, 2020)

Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries - Aaron Brookhouse; Tyler Derr; Hamid Karimi; H. Russell Bernard; Jiliang Tang (CoRR, 2020)

Node Similarity Preserving Graph Convolutional Networks - Wei Jin; Tyler Derr; Yiqi Wang; Yao Ma; Zitao Liu; Jiliang Tang (CoRR, 2020)

Multi-factor congressional vote prediction - Hamid Karimi; Tyler Derr; Aaron Brookhouse; Jiliang Tang (ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27-30 August, 2019, 2019)

Balance in Signed Bipartite Networks - Tyler Derr; Cassidy Johnson; Yi Chang; Jiliang Tang (Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019, 2019)

Deep Adversarial Social Recommendation - Wenqi Fan; Tyler Derr; Yao Ma; Jianping Wang; Jiliang Tang; Qing Li (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, 2019)

Deep Adversarial Network Alignment - Tyler Derr; Hamid Karimi; Xiaorui Liu; Jiejun Xu; Jiliang Tang (CoRR, 2019)

Deep Adversarial Social Recommendation - Wenqi Fan; Tyler Derr; Yao Ma; Jianping Wang; Jiliang Tang; Qing Li (CoRR, 2019)

Say What I Want: Towards the Dark Side of Neural Dialogue Models - Haochen Liu; Tyler Derr; Zitao Liu; Jiliang Tang (CoRR, 2019)

Balance in Signed Bipartite Networks - Tyler Derr; Cassidy Johnson; Yi Chang; Jiliang Tang (CoRR, 2019)

Characterizing the Decision Boundary of Deep Neural Networks - Hamid Karimi; Tyler Derr; Jiliang Tang (CoRR, 2019)

Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks - Tyler Derr; Zhiwei Wang; Jiliang Tang (IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018, Barcelona, Spain, August 28-31, 2018, 2018)

Signed Network Modeling Based on Structural Balance Theory - Tyler Derr; Charu C. Aggarwal; Jiliang Tang (Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018, 2018)

Signed Graph Convolutional Networks - Tyler Derr; Yao Ma; Jiliang Tang (IEEE International Conference on Data Mining, ICDM 2018, Singapore, November 17-20, 2018, 2018)

Congressional Vote Analysis Using Signed Networks - Tyler Derr; Jiliang Tang (2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018, 2018)

Signed Graph Convolutional Network - Tyler Derr; Yao Ma; Jiliang Tang (CoRR, 2018)

Understanding and Predicting Weight Loss with Mobile Social Networking Data - Zhiwei Wang; Tyler Derr; Dawei Yin; Jiliang Tang (Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017, 2017)

Signed Node Relevance Measurements - Tyler Derr; Chenxing Wang; Suhang Wang; Jiliang Tang (CoRR, 2017)

Signed Network Modeling Based on Structural Balance Theory - Tyler Derr; Charu C. Aggarwal; Jiliang Tang (CoRR, 2017)