Tyler Derr - Publications

Yu Wang and Tyler Derr.
Tree Decomposed Graph Neural Network.
In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), Virtual Conference, November 1-5, 2021.
[pdf ]

Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, and Jiliang Tang.
Deep Adversarial Network Alignment.
In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), Virtual Conference, November 1-5, 2021.
[pdf ]

Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu Aggarwal and Jiliang Tang.
Graph Feature Gating Network.
In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), Virtual Conference, November 1-5, 2021.

Aaron Brookhouse, Tyler Derr (co-first author), Hamid Karimi (co-first author), H. Russell Bernard, and Jiliang Tang.
Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries.
In Proceedings of the 32nd ACM Conference on Hypertext and Social Media, Virtual Conference, August 30 - September 2, 2021.
[Arxiv version pdf]

Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi. Interpretable Visual Understanding with Cognitive Attention Network.
In Proceedings of the 30th International Conference on Artificial Neural Networks (ICANN), Virtual Conference, September 14-17, 2021.
[Arxiv version pdf] [Local pdf] [Code repo]

Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, and Jiliang Tang.
Graph Adversarial Attack via Rewiring.
In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), Singapore (Virtual Conference), August 14-18, 2021.
[Arxiv version pdf]

Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Shah.
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach.
In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), Virtual Conference, February 2-9, 2021.
[Local copy papers/aaai21-hypergraph_attention_stock_selection.pdf]

Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang.
Node Similarity Preserving Graph Convolutional Networks.
In Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM), Jerusalem, Israel, March 8-12, 2021.
[Local copy pdf] [Code repo]

Wenqi Fan, Tyler Derr, Xiangyu Zhao,Yao Ma,Hui Liu, Jianping Wang, Jiliang Tang, Qing Li.
CopyAttack: Attacking Black-box Recommendations via Copying Cross-domain User Profiles.
In Proceedings of the IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, April 19-22, 2021.
[Local copy pdf]

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

Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma.
Deep Graph Learning: Foundations, Advances and Applications.
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), San Diego, USA, August 22-27, 2020.
[Tutorial site link][Local copy pdf ] [Local copy papers/kdd20-gnn_tutorial.pdf]

Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, and Jiliang Tang.
Learning from Incomplete Labeled Data via Adversarial Data Generation.
In Proceedings of the 18th International Conference on Data Mining (ICDM), Sorrento, Italy, November 17-20, 2020.
[Local copy pdf]

Tyler Derr, Hamid Karimi (co-first authors), Jiangtao Huang, and Jiliang Tang.
Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network.
In Proceedings of 13th International Conference on Educational Data Mining (EDM), Ifrane, Morocco, July 10-13, 2020.
[Local copy pdf]

Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, and Jiliang Tang.
Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest.
(Work-in-Progress) In Proceedings of the 7th Learning@ Scale (L@S), Atlanta, USA, August 12-14, 2020.
[Local copy pdf]

Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, and Jiliang Tang.
Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest.
In Proceedings of the 21st International Conference on Artificial Intelligence in Education (AIED), Ifran, Morocco, July 6-10, 2020.
[Local copy pdf]

Tyler Derr, Zhiwei Wang, Jamell Dacon, and Jiliang Tang.
Link and Interaction Polarity Predictions in Signed Networks.
Social Network Analysis and Mining. 10(18). 2020.
[Springer pdf] [Local copy pdf]

Amin Javari, Tyler Derr, Pouya Esmalian, Jiliang Tang, and Kevin Chen-Chuan Chang.
ROSE: Role-based Signed Network Embedding.
In Proceedings of the 29th International Conference on The World Wide Web (WWW), Taipei, Taiwan, April 20-24, 2020.
[Local copy pdf]

Hamid Karimi, Jiangtao Huang (co-first author), Tyler Derr.
A Deep Model for Predicting Online Course Performance.
Workshop on Artificial Intelligence for Education (AI4EDU) at the 34th AAAI Conference on Artificial Intelligence (AAAI), New York, USA, February 7-12, 2020.
[Local copy pdf]

Tyler Derr, Yao Ma, Wenqi Fan, Xiarui Liu, Charu Aggarwal, and Jiliang Tang.
Epidemic Graph Convolutional Network.
In Proceedings of the 13th ACM International Conference on Web Search and Data Mining (WSDM)/, Houston, USA, February 3-7, 2020.
[ACM pdf] [Local copy pdf] [Code repo]

Tyler Derr.
Network Analysis with Negative Links.
In Proceedings of the 13th ACM International Conference on Web Search and Data Mining (WSDM)/, Houston, USA, February 3-7, 2020.
[ACM pdf] [Local copy pdf]
[Dataset repository]

Tyler Derr, Cassidy Johnson, Yi Chang, and Jiliang Tang.
Balance in Signed Bipartite Networks.
In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), Beijing, China, November 3-7, 2019.
[Local copy pdf] [Code repo]

Tyler Derr, Hamid Karimi (co-first authors), Aaron Brookhouse, and Jiliang Tang.
Multi-Factor Congressional Vote Prediction.
In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Vancouver, Canada, August 27-30, 2019.
[Local copy pdf]
Code coming soon!

Wenqi Fan, Tyler Derr, Yao Ma, Qing Li, Jiliang Tang, and Jianping Wang.
Deep Adversarial Social Recommendation.
In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, August 10-16, 2019.
[Local copy pdf]

Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, and Jiliang Tang.
A Roadmap for Incorporating Online Social Media in Educational Research.
In Teachers College Record Volume 121 Number 14, 2019. [TCR pdf] [Local copy pdf]

Tyler Derr, Yao Ma, and Jiliang Tang.
Signed Graph Convolutional Networks.
In Proceedings of the 18th International Conference on Data Mining (ICDM), Singapore, November 17-20, 2018.
[IEEE pdf] [Local copy pdf] [Extended version pdf] [code] [3rd party code]

Tyler Derr and Jiliang Tang.
Congresional Vote Analysis Using Signed Networks.
In Proceedings of the 18th International Conference on Data Mining Workshops (ICDMW), Singapore, November 17-20, 2018.
[IEEE pdf] [Local copy pdf].

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

Tyler Derr, Zhiwei Wang, and Jiliang Tang.
Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks.
In Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, August 28-31, 2018.
[IEEE pdf] [Local copy (Coming Soon)]

Tyler Derr, Chenxing Wang, Suhang Wang, and Jiliang Tang.
Relevance Measurements in Online Signed Social Networks.
KDD 14th International Workshop on Mining and Learning with Graphs (MLG), London, United Kingdom, August 20, 2018. [pdf]

Zhiwei Wang, Tyler Derr, Dawei Yin, and Jiliang Tang.
Understanding and Predicting Weight Loss with Mobile Social Networking Data.
Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017. [ACM pdf] [Local copy pdf]

Preprints and Submissions

Yu Wang, Wei Jin, and Tyler Derr.
Graph Neural Networks: Self-supervised Learning.
[pdf]

Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, and Jiliang Tang.
Self-supervised Learning on Graphs: Deep Insights and New Directions.
[pdf]

Tyler Derr, Yi Chang, Charu Aggarwal, and Jiliang Tang.
Deep Centrality Measurement for Signed Networks.

Hamid Karimi, Tyler Derr, Jiliang Tang.
Explaining the Behavior of Deep Neural Networks Through the Lens of Decision Boundary.

Haochen Liu, Zhiwei Wang, Tyler Derr, Zitao Liu, and Jiliang Tang.
Chat as Expected: Manipulating Black-box Neural Dialogue Models.
[pdf]

Jamell Dacon, Tyler Derr, and Jiliang Tang.
Cross-Domain Recommender System: A Survey on Online Platforms and New Perspectives

Jiangtao Huang, Tyler Derr, Hamid Karimi, and Jiliang Tang.
A Survey of Computational Methods in Massive Open Online Courses.

Haochen Liu, Tyler Derr, Zitao Liu, and Jiliang Tang.
Say What I Want: Towards the Dark Side of Neural Dialogue Models.
[pdf]

Hamid Karimi, Tyler Derr, and Jiliang Tang.
Characterizing the Decision Boundary of Deep Neural Networks.
[pdf]

Symposiums / Workshops

  • Yu Wang and Tyler Derr.
    Tackling Over-squashing in Graph Neural Networks via Higher-orderNeighborhood Disentanglement. International Conference on Data Mining (SDM21) Doctoral Forum, SIAM, Poster, 2021.

  • Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, and Jiliang Tang.
    Self-supervised Learning on Graphs: Deep Insights and New Directions. The Workshop on Self-Supervised Learning for the Web @ WWW, Presentation and poster, 2020.
    [pdf]

  • Tyler Derr. Network Analysis with Negative Links. Michigan AI Symposium - AI For Society, Poster, 2019.

  • Tyler Derr. Network Analysis with Negative Links. International Conference on Data Mining (SDM19) Doctoral Forum, SIAM, Poster, 2019.

    • Best Poster Award

  • Aaron Brookhouse*, Tyler Derr, Hamid Karimi, and Jiliang Tang. Why Do People Unfollow on Twitter. Mid-Michigan Symposium for Undergraduate Research (MID-SURE), Poster. 2019

    • *Undergraduate student mentored

  • Tyler Derr, Yao Ma, and Jiliang Tang. Signed Graph Convolutional Networks. Michigan State University Engineering Graduate Research Symposium, Poster, 2019.

  • Tyler Derr, Hamid Karimi, and Jiliang Tang. Multi-Factor Congressional Vote Prediction. Michigan State University Graduate Academic Conference - Three-Minute Thesis Competition, Presentation, 2019

    • ‘‘People's Choice’’ Award

  • Tyler Derr, Hamid Karimi, and Jiliang Tang. Deep Congressional Vote Prediction. Southeast Michigan Postdoctoral Symposium, Presentation, 2018.

    • 2nd Prize Awarded by University of Michigan's Postdoctoral Association

  • Tyler Derr and Jiliang Tang. Congressional Vote Analysis using Signed Networks. IEEE International Conference on Data Mining (ICDM18) Ph.D. Forum, Presentation, 2018.

  • Tyler Derr, Chenxing Wang, Suhang Wang, and Jiliang Tang. Node Relevance Measurements in Online Signed Social Networks. Michigan State University Engineering Graduate Research Symposium, Poster, 2018.

  • Tyler Derr. Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks. International Conference on Data Mining (SDM17) Doctoral Forum, SIAM, Poster, 2017.

  • Tyler Derr, Zhiwei Wang, and Jiliang Tang. Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks. Michigan State University Engineering Graduate Research Symposium, Poster, 2017.

  • Tyler Derr, Yanli Wang, and Feng Yue. A Supervised Learning Approach to the Prediction of Hi-C Data. ENCODE 2015: Research Applications and Users Meeting, Poster and presentation, 2015.

  • Yanli Wang, Gal Yaroslavsky, Tyler Derr, and Feng Yue. Visualizing three-dimensional organization and long-range interactions of the mammalian genome with the 3D Genome Browser. ENCODE 2015: Research Applications and Users Meeting, Poster, 2015.

  • Tyler Derr. Archimedes and His Approximation of sqrt(3). MAA-EPaDel Regional Spring Conference, Student Paper Session Talk, 2013.