Publications

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Publications in 2022

Inferring EHR Utilization Workflows through Audit Logs
Xinmeng Zhang, Yuying Zhao (co-first author), 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.

Fair View Graph Neural Network for Fair Node Representation Learning
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

Publications in 2021

Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Yu Wang, Yuying Zhao, Neil Shah, and Tyler Derr
Preprint, 2021

Distance-wise Prototypical Graph Neural Network for Imbalanced Node Classification
Yu Wang, Charu Aggarwal, and Tyler Derr
Preprint, 2021

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

Publications in 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, 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

Publications in 2019

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

Publications 2018 and before

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