Publications

Published (* denotes Equal Contribution)

24. Learning Graph Quantized Tokenizers for Transformers

🔻Limei Wang*, Kaveh Hassani*, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long

🔻ICLR 2025

🔻[To Appear]

23. Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency

🔻Xinyu He*, Dongqi Fu*, Hanghang Tong, Ross Maciejewski, Jingrui He

🔻ICLR 2025

🔻[To Appear]

22. Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem

🔻Katherine Tieu, Dongqi Fu, Jun Wu, Jingrui He

🔻AISTATS 2025

🔻[To Appear]

21. APEX²: Adaptive and Extreme Summarization for Personalized Knowledge Graphs

🔻Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He

🔻KDD 2025

🔻[To Appear]

20. Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed

🔻Katherine Tieu*, Dongqi Fu*, Yada Zhu, Hendrik Hamann, Jingrui He

🔻NeurIPS 2024

🔻[Paper] [Code]

19. PageRank Bandits for Link Prediction

🔻Yikun Ban*, Jiaru Zou*, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He

🔻NeurIPS 2024

🔻[Paper] [Code]

18. BackTime: Backdoor Attacks on Multivariate Time Series Forecasting

🔻Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong

🔻NeurIPS 2024 (Spotlight, Top 2.08% Over 15,671 Submissions)

🔻[Paper] [Code]

17. DrGNN: Deep Residual Graph Neural Network with Contrastive Learning

🔻Lecheng Zheng*, Dongqi Fu*, Ross Maciejewski, Jingrui He

🔻TMLR, October 2024

🔻[Paper] [Code]

16. Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection

🔻Dongqi Fu, Yada Zhu, Hanghang Tong, Kommy Weldemariam, Onkar Bhardwaj, Jingrui He

🔻ICML 2024 (AI4Science Workshop)

🔻[Paper]

15. VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections

🔻Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long

🔻ICLR 2024

🔻[Paper] [Poster] [Code]

14. Investigating Natural and Artificial Dynamics in Graph Data Mining and Machine Learning

🔻Dongqi Fu

🔻CIKM 2023 (Doctoral Symposium)

🔻[Paper]

13. Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey

🔻Dongqi Fu*, Wenxuan Bao*, Ross Maciejewski, Hanghang Tong, Jingrui He

🔻SIGKDD Explorations, June 2023

🔻[Paper]

12. Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs

🔻Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He

🔻WWW 2023

🔻[Paper] [Slides] [Code]

11. Everything Evolves in Personalized PageRank

🔻Zihao Li*, Dongqi Fu*, Jingrui He

🔻WWW 2023

🔻[Paper] [Slides] [Code]

10. Natural and Artificial Dynamics in GNNs: A Tutorial

🔻Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He

🔻WSDM 2023 (Tutorial)

🔻[Paper] [Slides]

9. DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data

🔻Dongqi Fu, Jingrui He

🔻IEEE BigData 2022

🔻[Paper] [Slides] [Video] [Data & Code]

8. Natural and Artificial Dynamics in Graphs: Concept, Progress, and Future

🔻Dongqi Fu, Jingrui He

🔻Frontiers in Big Data, December 2022

🔻[Paper]

7. MentorGNN: Deriving Curriculum for Pre-Training GNNs

🔻Dawei Zhou*, Lecheng Zheng*, Dongqi Fu, Jiawei Han, Jingrui He

🔻CIKM 2022

🔻[Paper] [Video] [Code]

6. DISCO: Comprehensive and Explainable Disinformation Detection

🔻Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He

🔻CIKM 2022

🔻[Paper] [Slides] [Demo] [Code]

5. Privacy-preserving Graph Analytics: Secure Generation and Federated Learning

🔻Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski

🔻DHS CAOE Workshop on Privacy Enhancing Technologies for the Homeland Security Enterprise 2022

🔻[Paper] [Slides]

4. Meta-Learned Metrics over Multi-Evolution Temporal Graphs

🔻Dongqi Fu*, Liri Fang*, Ross Maciejewski, Vetle I Torvik, Jingrui He

🔻KDD 2022

🔻[Paper] [Slides] [Video] [Code]

3. SDG: A Simplified and Dynamic Graph Neural Network

🔻Dongqi Fu, Jingrui He

🔻SIGIR 2021

🔻[Paper] [Slides] [Video] [Code]

2. A View-Adversarial Framework for Multi-View Network Embedding

🔻Dongqi Fu*, Zhe Xu*, Bo Li, Hanghang Tong, Jingrui He

🔻CIKM 2020

🔻[Paper] [Slides] [Video] [Code]

1. Local Motif Clustering on Time-Evolving Graphs

🔻Dongqi Fu, Dawei Zhou, Jingrui He

🔻KDD 2020

🔻[Paper] [Slides] [Video] [Code]