A View-Adversarial Framework for Multi-View Network Embedding. - Dongqi Fu; Zhe Xu 007; Bo Li 026; Hanghang Tong; Jingrui He (CIKM, 2020)

Local Motif Clustering on Time-Evolving Graphs. - Dongqi Fu; Dawei Zhou 003; Jingrui He (KDD, 2020)

SDG: A Simplified and Dynamic Graph Neural Network. - Dongqi Fu; Jingrui He (SIGIR, 2021)

DPPIN: A Biological Dataset of Dynamic Protein-Protein Interaction Networks. - Dongqi Fu; Jingrui He (CoRR, 2021)

Tackling Oversmoothing of GNNs with Contrastive Learning. - Lecheng Zheng; Dongqi Fu; Jingrui He (CoRR, 2021)

DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data. - Dongqi Fu; Jingrui He (IEEE Big Data, 2022)

DISCO: Comprehensive and Explainable Disinformation Detection. - Dongqi Fu; Yikun Ban; Hanghang Tong; Ross Maciejewski; Jingrui He (CIKM, 2022)

MentorGNN: Deriving Curriculum for Pre-Training GNNs. - Dawei Zhou 003; Lecheng Zheng; Dongqi Fu; Jiawei Han 001; Jingrui He (CIKM, 2022)

Meta-Learned Metrics over Multi-Evolution Temporal Graphs. - Dongqi Fu; Liri Fang; Ross Maciejewski; Vetle I. Torvik; Jingrui He (KDD, 2022)

Privacy-preserving Graph Analytics: Secure Generation and Federated Learning. - Dongqi Fu; Jingrui He; Hanghang Tong; Ross Maciejewski (CoRR, 2022)

Natural and Artificial Dynamics in Graphs: Concept, Progress, and Future. - Dongqi Fu; Jingrui He (Frontiers Big Data, 2022)

Investigating Natural and Artificial Dynamics in Graph Data Mining and Machine Learning. - Dongqi Fu (CIKM, 2023)

Natural and Artificial Dynamics in GNNs: A Tutorial. - Dongqi Fu; Zhe Xu 007; Hanghang Tong; Jingrui He (WSDM, 2023)

Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs. - Dongqi Fu; Dawei Zhou 003; Ross Maciejewski; Arie Croitoru; Marcus Boyd; Jingrui He (WWW, 2023)

Everything Evolves in Personalized PageRank. - Zihao Li 006; Dongqi Fu; Jingrui He (WWW, 2023)

Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. - Dongqi Fu; Wenxuan Bao; Ross Maciejewski; Hanghang Tong; Jingrui He (SIGKDD Explor., 2023)

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)

PageRank Bandits for Link Prediction. - Yikun Ban; Jiaru Zou; Zihao Li 006; Yunzhe Qi; Dongqi Fu; Jian Kang 008; Hanghang Tong; Jingrui He (NeurIPS, 2024)

BackTime: Backdoor Attacks on Multivariate Time Series Forecasting. - Xiao Lin; Zhining Liu 002; Dongqi Fu; Ruizhong Qiu; Hanghang Tong (NeurIPS, 2024)

Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed. - Katherine Tieu; Dongqi Fu; Yada Zhu; Hendrik F. Hamann; Jingrui He (NeurIPS, 2024)

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 (CoRR, 2024)

Language Models are Graph Learners. - Zhe Xu 007; Kaveh Hassani; Si Zhang; Hanqing Zeng; Michihiro Yasunaga; Limei Wang; Dongqi Fu; Ning Yao; Bo Long; Hanghang Tong (CoRR, 2024)

Parametric Graph Representations in the Era of Foundation Models: A Survey and Position. - Dongqi Fu; Liri Fang; Zihao Li 006; Hanghang Tong; Vetle I. Torvik; Jingrui He (CoRR, 2024)

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 (CoRR, 2024)

Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality. - Zihao Li 006; Dongqi Fu; Hengyu Liu; Jingrui He (CoRR, 2024)

Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to Hypergraphs. - Zihao Li 006; Dongqi Fu; Hengyu Liu; Jingrui He (CoRR, 2024)

PyG-SSL: A Graph Self-Supervised Learning Toolkit. - Lecheng Zheng; Baoyu Jing; Zihao Li 006; Zhichen Zeng 001; Tianxin Wei; Mengting Ai; Xinrui He; Lihui Liu; Dongqi Fu; Jiaxuan You; Hanghang Tong; Jingrui He (CoRR, 2024)

DrGNN: Deep Residual Graph Neural Network with Contrastive Learning. - Lecheng Zheng; Dongqi Fu; Ross Maciejewski; Jingrui He (Trans. Mach. Learn. Res., 2024)

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? - Zihao Li 006; Lecheng Zheng; Bowen Jin; Dongqi Fu; Baoyu Jing; Yikun Ban; Jingrui He; Jiawei Han 001 (ACL (1), 2025)

Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem. - Katherine Tieu; Dongqi Fu; Jun Wu 019; Jingrui He (AISTATS, 2025)

Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency. - Xinyu He 003; Dongqi Fu; Hanghang Tong; Ross Maciejewski; Jingrui He (ICLR, 2025)

Learning Graph Quantized Tokenizers. - Limei Wang; Kaveh Hassani; Si Zhang; Dongqi Fu; Baichuan Yuan; Weilin Cong; Zhigang Hua; Hao Wu; Ning Yao; Bo Long (ICLR, 2025)

APEX2: Adaptive and Extreme Summarization for Personalized Knowledge Graphs. - Zihao Li 006; Dongqi Fu; Mengting Ai; Jingrui He (KDD (1), 2025)

Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative. - Zihao Li 006; Xiao Lin; Zhining Liu 002; Jiaru Zou; Ziwei Wu; Lecheng Zheng; Dongqi Fu; Yada Zhu; Hendrik F. Hamann; Hanghang Tong; Jingrui He (CoRR, 2025)

GTR: Graph-Table-RAG for Cross-Table Question Answering. - Jiaru Zou; Dongqi Fu; Sirui Chen; Xinrui He; Zihao Li 006; Yada Zhu; Jiawei Han 001; Jingrui He (CoRR, 2025)

ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method. - Dongqi Fu; Yada Zhu; Zhining Liu 002; Lecheng Zheng; Xiao Lin; Zihao Li 006; Liri Fang; Katherine Tieu; Onkar Bhardwaj; Kommy Weldemariam; Hanghang Tong; Hendrik F. Hamann; et al. (CoRR, 2025)

Learnable Spatial-Temporal Positional Encoding for Link Prediction. - Katherine Tieu; Dongqi Fu; Zihao Li 006; Ross Maciejewski; Jingrui He (CoRR, 2025)

UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation. - Wangzhi Zhan; Jianpeng Chen; Dongqi Fu; Dawei Zhou 003 (CoRR, 2025)