Publications

20. Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
 🔻 Katherine Tieu*, Dongqi Fu*, Yada Zhu, Hendrik Hamann, Jingrui He (*Equal Contribution)
 🔻 NeurIPS 2024
 🔻 To Appear

19. PageRank Bandits for Link Prediction
 🔻 Yikun Ban*, Jiaru Zou*, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He (*Equal Contribution)
 🔻 NeurIPS 2024
 🔻 To Appear

18. BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
 🔻 Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong
 🔻 NeurIPS 2024 (Spotlight)
 🔻 To Appear

17. DrGNN: Deep Residual Graph Neural Network with Contrastive Learning
 🔻 Lecheng Zheng*, Dongqi Fu*, Ross Maciejewski, Jingrui He (*Equal Contribution)
 🔻 TMLR, October 2024
 🔻 To Appear

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 (*Equal Contribution)
 🔻 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 (*Equal Contribution)
 🔻 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 (*Equal Contribution)
 🔻 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
 🔻 [Paper] [Slides]

4. Meta-Learned Metrics over Multi-Evolution Temporal Graphs
 🔻 Dongqi Fu*, Liri Fang*, Ross Maciejewski, Vetle I Torvik, Jingrui He (*Equal Contribution)
 🔻 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 (*Equal Contribution)
 🔻 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]