Tyler Derr
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
56
Venues
19
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
56 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution. | Hua Liu, Yanbin Wei, Fei Xing, Tyler Derr, Haoyu Han, Yu Zhang |
| 2026 | ACL | Risk-Controlled Event-Driven Cascading Updates for Knowledge Graph Consistency Restoration. | Bo Ni, Qinwen Ge, Haowei Fu, Ryan A. Rossi, Xiaorui Liu, Jiejun Xu, Tyler Derr |
| 2026 | EACL | Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks. | Haowei Fu, Bo Ni, Han Xu, Kunpeng Liu, Dan Lin, Tyler Derr |
| 2026 | EACL | A Survey on LLM-based Conversational User Simulation. | Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi |
| 2026 | KDD | SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs. | Leyao Wang, Yu Wang, Bo Ni, Yuying Zhao, Hanyu Wang, Yao Ma, Tyler Derr |
| 2025 | AAAI | Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective. | Bo Ni, Yu Wang, Lu Cheng, Erik Blasch, Tyler Derr |
| 2025 | AIES | Explanation Difference: Bridging Procedural and Distributional Fairness. | Joe Germino, Yuying Zhao, Tyler Derr, Nuno Moniz, Nitesh V. Chawla |
| 2025 | ICLR | 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 |
| 2025 | KDD | 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 |
| 2025 | KDD | BTS: A Comprehensive Benchmark for Tie Strength Prediction. | Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr |
| 2025 | NAACL | 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 |
| 2025 | WSDM | Edge Classification on Graphs: New Directions in Topological Imbalance. | Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr |
| 2024 | AAAI | Knowledge Graph Prompting for Multi-Document Question Answering. | Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr |
| 2024 | AAAI | 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 |
| 2024 | CIKM | Data Quality-aware Graph Machine Learning. | Yu Wang, Kaize Ding, Xiaorui Liu, Jian Kang, Ryan A. Rossi, Tyler Derr |
| 2024 | CIKM | 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 |
| 2024 | ICLR | A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. | Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr |
| 2024 | WWW | Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation. | Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui |
| 2024 | WWW | 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 |
| 2024 | WSDM | The 5th International Workshop on Machine Learning on Graphs (MLoG). | Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Fairness and Explainability: Bridging the Gap towards Fair Model Explanations. | Yuying Zhao, Yu Wang, Tyler Derr |
| 2023 | ICMLA | Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation. | Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, Xenofon D. Koutsoukos |
| 2023 | WWW | Collaboration-Aware Graph Convolutional Network for Recommender Systems. | Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr |
| 2023 | WSDM | The 3rd International Workshop on Machine Learning on Graphs (MLoG). | Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan |
| 2022 | AMIA | Inferring EHR Utilization Workflows through Audit Logs. | Xinmeng Zhang, Yuying Zhao, Chao Yan, Tyler Derr, You Chen |
| 2022 | CIKM | Imbalanced Graph Classification via Graph-of-Graph Neural Networks. | Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr |
| 2022 | CIKM | PAS: Privacy Algorithms in Systems. | Philip S. Yu, Olivera Kotevska, Tyler Derr |
| 2022 | DSAA | Enhancing Individual Fairness through Propensity Score Matching. | Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu |
| 2022 | ICDM | THINK: Temporal Hypergraph Hyperbolic Network. | Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr |
| 2022 | ICDM | Degree-Related Bias in Link Prediction. | Yu Wang, Tyler Derr |
| 2022 | ICMLA | Decision Boundaries of Deep Neural Networks. | Hamid Karimi, Tyler Derr |
| 2022 | KDD | On Structural Explanation of Bias in Graph Neural Networks. | Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li |
| 2022 | KDD | 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, Michal Ughetto, Yu Wang, Tyler Derr, Benjamin M. Gyori |
| 2022 | KDD | Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. | Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr |
| 2021 | AAAI | Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. | Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah |
| 2021 | CIKM | Deep Adversarial Network Alignment. | Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang |
| 2021 | CIKM | Graph Feature Gating Networks. | Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang |
| 2021 | CIKM | Tree Decomposed Graph Neural Network. | Yu Wang, Tyler Derr |
| 2021 | ICANN | Interpretable Visual Understanding with Cognitive Attention Network. | Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi |
| 2021 | ICDE | 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 |
| 2021 | KDD | Graph Adversarial Attack via Rewiring. | Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang |
| 2021 | WSDM | Node Similarity Preserving Graph Convolutional Networks. | Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang |
| 2020 | AIED | 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 |
| 2020 | EDM | Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. | Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang |
| 2020 | ICDM | Learning from Incomplete Labeled Data via Adversarial Data Generation. | Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang |
| 2020 | KDD | 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 |
| 2020 | WWW | ROSE: Role-based Signed Network Embedding. | Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang |
| 2020 | WSDM | Epidemic Graph Convolutional Network. | Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang |
| 2020 | WSDM | Network Analysis with Negative Links. | Tyler Derr |
| 2019 | CIKM | Balance in Signed Bipartite Networks. | Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang |
| 2019 | IJCAI | Deep Adversarial Social Recommendation. | Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li |
| 2018 | CIKM | Signed Network Modeling Based on Structural Balance Theory. | Tyler Derr, Charu C. Aggarwal, Jiliang Tang |
| 2018 | ICDM | Signed Graph Convolutional Networks. | Tyler Derr, Yao Ma, Jiliang Tang |
| 2018 | ICDM | Congressional Vote Analysis Using Signed Networks. | Tyler Derr, Jiliang Tang |
| 2017 | CIKM | Understanding and Predicting Weight Loss with Mobile Social Networking Data. | Zhiwei Wang, Tyler Derr, Dawei Yin, Jiliang Tang |