You may also see our work on Google Scholar.
Robust Graph Neural Networks via Unbiased Aggregation
Ruiqi Feng, Zhichao Hou, Tyler Derr, Xiaorui Liu.
arXiv preprint arXiv:2311.14934 (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.
arXiv preprint arXiv:2310.04612 (2023).
A Survey of Graph Unlearning
Anwar Said, Tyler Derr, Mudassir Shabbir, Waseem Abbas, and Xenofon Koutsoukos.
arXiv preprint arXiv:2310.02164 (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, and Tyler Derr.
arXiv preprint arXiv:2308.16375 (2023).
Fairness and Diversity in Recommender Systems: A Survey
Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu Aggarwal, and Tyler Derr.
arXiv preprint arXiv:2307.04644 (2023).
Integrating Expert Knowledge with Deep Learning Improves QSAR Models for CADD Modeling
Yunchao “Lance” Liu, Rocco Moretti, Yu Wang, Bobby Bodenheimer, Tyler Derr, Jens Meiler.
bioRxiv preprint (2023).
Distance-wise Prototypical Graph Neural Network for Imbalanced Node Classification
Yu Wang, Charu Aggarwal, and Tyler Derr
arXiv preprint arXiv:2110.12035 (2021).
Knowledge Graph Prompting for Multi-Document Question Answering
Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa Siu, Ruiyi Zhang, Tyler Derr.
In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, CA, February 20-27, 2024.
Fairness-Aware Graph Neural Networks: A Survey
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed.
In Proceedings of the 40th IEEE Transactions on Knowledge and Data Engineering (TKDE), Utrecht, Netherlands, May 13 - 17, 2024.
Fair Online Dating Recommendations for Sexually Fluid Users via Leveraging Opposite Gender Interaction Ratio
Yuying Zhao, Yu Wang, Yi Zhang, Pamela Wisniewski, Charu Aggarwal, Tyler Derr.
non-archival version accepted at Mining and Learning on Graphs (MLG) Workshop at KDD 2023.
An In-depth Analysis of the Broken Ties on Twitter
Kiana Kheiri, Muhammad Fawad Akbar Khan, Tyler Derr, and Hamid Karimi.
In Proceedings of the IEEE International Conference on Big Data (Big Data), Sorrento, Italy, December 15-18, 2023.
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon Koutsoukos.
Advances in Neural Information Processing (NeurIPS), New Orleans, LA, USA, December 10 - 16, 2023.
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation
Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, and Xenofon Koutsoukos.
In Proceedings of the 22nd IEEE International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, USA, December 15-17, 2023.
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 Transactions on Knowledge and Data Engineering, 2023.
ADEPT: Autoencoder with Differentially Expressed Genes and Imputation for a Robust Spatial Transcriptomics Clustering
Yunfei Hu*, Yuying Zhao*, Curtis T. Schunk, Yingxiang Ma, Tyler Derr, and Xin Maizie Zhou.
iScience, 2023. (also accepted and presented at RECOMB-Seq, Istanbul, Turkey, April 14-15, 2023)
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr.
In Proceedings of the ACM Web Conference 2023 (TheWebConf), Austin, TX, USA, April 30 - May 4, 2023.
Fairness and Explainability: Briding the Gap Towards Fair Model Explanations
Yuying Zhao, Yu Wang, Tyler Derr.
In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, USA, February 7-14, 2023.
Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Relationship Modeling in Drug Discovery
Yunchao “Lance” Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler, Tyler Derr.
In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, USA, February 7-14, 2023.
Degree-related Bias in Link Prediction
Yu Wang and Tyler Derr.
In Proceedings of the 22nd International Conference on Data Mining Workshop (ICDMW) Machine Learning on Graphs (MLoG), Orlando, FL, USA, November 28 - December 1, 2022.
THINK: Temporal Hypergraph Hyperbolic Network
Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, and Tyler Derr.
In Proceedings of the 22nd International Conference on Data Mining (ICDM), Orlando, FL, USA, November 28 - December 1, 2022.
Decision Boundaries of Deep Neural Networks
Hamid Karimi and Tyler Derr.
In Proceedings of the 21th IEEE International Conference on Machine Learning and Applications (ICMLA), Nassau, The Bahamas, December 12-15, 2022.
Enhancing Individual Fairness through Propensity Score Matching
Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, and Hui Liu.
In Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Virtual, October 13-16, 2022.
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Yu Wang, Yuying Zhao, Neil Shah, and Tyler Derr.
In Proceedings of the 31th ACM International Conference on Information and Knowledge Management (CIKM), Atlanta, GA, USA, October 17-21, 2022.
Inferring EHR Utilization Workflows through Audit Logs
Xinmeng Zhang*, Yuying Zhao*, Chao Yan, Tyler Derr, and You Chen.
AMIA Annual Symposium Proceedings. Vol. 2022. American Medical Informatics Association, Washington D.C., USA, November 5-9, 2022.
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute
Leakage
Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, and Tyler Derr.
In Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington D.C., USA, August 14-18, 2022
On Structural Explanation of Bias in Graph Neural Networks
Yushun Dong, Song Wang, Yu Wang, Tyler Derr, and Jundong Li.
In Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington D.C., USA, August 14-18, 2022
ChemicalX: A Deep Learning Library for Drug Pair Scoring
Benedek Rozemberczki, Charles Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michael Ughetto, Yu Wang, Tyler Derr, and Benjamin Gyori.
In Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington D.C., USA, August 14-18, 2022
Fair Graph Representation Learning with Imbalanced and Biased Data
Yu Wang.
Proceedings of the 15th ACM International Conference on Web Search and Data Mining (WSDM), Virtual Conf., February 21-25, 2022
Graph Neural Networks: Self-supervised Learning
Yu Wang, Wei Jin, and Tyler Derr
Graph Neural Networks: Foundations, Frontiers, and Applications (Lingfei Wu, Peng Cui, Jian Pei, and Liang Zhao (Eds.)), Springer, Chapter 18. 2022
Tree Decomposed Graph Neural Network
Yu Wang and Tyler Derr
In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), Virtual Conf., November 1-5, 2021
Deep Adversarial Network Alignment
Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, and Jiliang Tang
In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), Virtual Conf., November 1-5, 2021
Graph Feature Gating Network
Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu Aggarwal and Jiliang Tang
In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), Virtual Conf., November 1-5, 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, and Jiliang Tang
In Proceedings of the 32nd ACM Conference on Hypertext and Social Media, Virtual Conf., August 30 - September 2, 2021
Interpretable Visual Understanding with Cognitive Attention Network
Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
In Proceedings of the 30th International Conference on Artificial Neural Networks (ICANN), Virtual Conf., September 14-17, 2021
Graph Adversarial Attack via Rewiring
Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, and Jiliang Tang
In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), Singapore (Virtual Conf.), August 14-18, 2021
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Shah
In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), Virtual Conf., February 2-9, 2021
Node Similarity Preserving Graph Convolutional Networks
Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
In Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM), Jerusalem, Israel, March 8-12, 2021
CopyAttack: 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
In Proceedings of the IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, April 19-22, 2021
Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest
Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, and Jiliang Tang
In Proceedings of the IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Takamatsu, Japan, December 8-11, 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
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), San Diego, USA, August 22-27, 2020
Learning from Incomplete Labeled Data via Adversarial Data Generation
Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, and Jiliang Tang
In Proceedings of the 18th International Conference on Data Mining (ICDM), Sorrento, Italy, November 17-20, 2020
Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network
Tyler Derr*, Hamid Karimi*, Jiangtao Huang, and Jiliang Tang
In Proceedings of 13th International Conference on Educational Data Mining (EDM), Ifrane, Morocco, July 10-13, 2020
Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest
Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, and Jiliang Tang
(Work-in-Progress) In Proceedings of the 7th Learning@ Scale (L@S), Atlanta, USA, August 12-14, 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, and Jiliang Tang
In Proceedings of the 21st International Conference on Artificial Intelligence in Education (AIED), Ifran, Morocco, July 6-10, 2020
Link and Interaction Polarity Predictions in Signed Networks
Tyler Derr, Zhiwei Wang, Jamell Dacon, and Jiliang Tang
Social Network Analysis and Mining. 10(18). 2020
ROSE: Role-based Signed Network Embedding
Amin Javari, Tyler Derr, Pouya Esmalian, Jiliang Tang, and Kevin Chen-Chuan Chang
In Proceedings of the 29th International Conference on The World Wide Web (WWW), Taipei, Taiwan, April 20-24, 2020
A Deep Model for Predicting Online Course Performance
Hamid Karimi*, Jiangtao Huang*, Tyler Derr
Workshop on Artificial Intelligence for Education (AI4EDU) at the 34th AAAI Conference on Artificial Intelligence (AAAI), New York, USA, February 7-12, 2020
Epidemic Graph Convolutional Network
Tyler Derr, Yao Ma, Wenqi Fan, Xiarui Liu, Charu Aggarwal, and Jiliang Tang
In Proceedings of the 13th ACM International Conference on Web Search and Data Mining (WSDM), Houston, USA, February 3-7, 2020
Network Analysis with Negative Links
Tyler Derr
In Proceedings of the 13th ACM International Conference on Web Search and Data Mining (WSDM), Houston, USA, February 3-7, 2020
Balance in Signed Bipartite Networks
Tyler Derr, Cassidy Johnson, Yi Chang, and Jiliang Tang
In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), Beijing, China, November 3-7, 2019
Multi-Factor Congressional Vote Prediction
Tyler Derr*, Hamid Karimi*, Aaron Brookhouse, and Jiliang Tang
In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Vancouver, Canada, August 27-30, 2019
Deep Adversarial Social Recommendation
Wenqi Fan, Tyler Derr, Yao Ma, Qing Li, Jiliang Tang, and Jianping Wang
In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, August 10-16, 2019
A Roadmap for Incorporating Online Social Media in Educational Research
Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, and Jiliang Tang
In Teachers College Record Volume 121 Number 14, 2019
Signed Graph Convolutional Networks
Tyler Derr, Yao Ma, and Jiliang Tang
In Proceedings of the 18th International Conference on Data Mining (ICDM), Singapore, November 17-20, 2018
Congresional Vote Analysis Using Signed Networks
Tyler Derr and Jiliang Tang
In Proceedings of the 18th International Conference on Data Mining Workshops (ICDMW), Singapore, November 17-20, 2018
Signed Network Modeling Based on Structural Balance Theory
Tyler Derr, Charu Aggarwal, and Jiliang Tang
In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM), Turin, Italy, October 22-26, 2018
Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks
Tyler Derr, Zhiwei Wang, and Jiliang Tang
In Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, August 28-31, 2018
Relevance Measurements in Online Signed Social Networks
Tyler Derr, Chenxing Wang, Suhang Wang, and Jiliang Tang
KDD 14th International Workshop on Mining and Learning with Graphs (MLG), London, United Kingdom, August 20, 2018
Understanding and Predicting Weight Loss with Mobile Social Networking Data
Zhiwei Wang, Tyler Derr, Dawei Yin, and Jiliang Tang
In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017