Dongqi Fu

According to our database, Dongqi Fu authored at least 38 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation.

Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou

CoRR, June, 2025

Learnable Spatial-Temporal Positional Encoding for Link Prediction.

Katherine Tieu, Dongqi Fu, Zihao Li, Ross Maciejewski, Jingrui He

CoRR, June, 2025

ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method.

Dongqi Fu, Yada Zhu, Zhining Liu, Lecheng Zheng, Xiao Lin, Zihao Li, Liri Fang, Katherine Tieu, Onkar Bhardwaj, Kommy Weldemariam, Hanghang Tong, Hendrik F. Hamann, Jingrui He

CoRR, April, 2025

GTR: Graph-Table-RAG for Cross-Table Question Answering.

Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He

CoRR, April, 2025

Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative.

Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik F. Hamann, Hanghang Tong, Jingrui He

CoRR, February, 2025

APEX²: Adaptive and Extreme Summarization for Personalized Knowledge Graphs.

Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Katherine Tieu, Dongqi Fu, Jun Wu, Jingrui He

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?

Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

DrGNN: Deep Residual Graph Neural Network with Contrastive Learning.

Lecheng Zheng, Dongqi Fu, Ross Maciejewski, Jingrui He

Trans. Mach. Learn. Res., 2024

PyG-SSL: A Graph Self-Supervised Learning Toolkit.

Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He

CoRR, 2024

Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to Hypergraphs.

Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He

CoRR, 2024

Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality.

Zihao Li, Dongqi Fu, Hengyu Liu, 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

Parametric Graph Representations in the Era of Foundation Models: A Survey and Position.

Dongqi Fu, Liri Fang, Zihao Li, Hanghang Tong, Vetle I. Torvik, Jingrui He

CoRR, 2024

Language Models are Graph Learners.

Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong

CoRR, 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

Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed.

Katherine Tieu, Dongqi Fu, Yada Zhu, Hendrik F. Hamann, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

BackTime: Backdoor Attacks on Multivariate Time Series Forecasting.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PageRank Bandits for Link Prediction.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Everything Evolves in Personalized PageRank.

Zihao Li, Dongqi Fu, Jingrui He

Proceedings of the ACM Web Conference 2023, 2023

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

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

Proceedings of the ACM Web Conference 2023, 2023

Natural and Artificial Dynamics in GNNs: A Tutorial.

Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

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

Dongqi Fu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

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

Dongqi Fu, Jingrui He

Frontiers Big Data, 2022

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

Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski

CoRR, 2022

Meta-Learned Metrics over Multi-Evolution Temporal Graphs.

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MentorGNN: Deriving Curriculum for Pre-Training GNNs.

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DISCO: Comprehensive and Explainable Disinformation Detection.

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

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

Dongqi Fu, Jingrui He

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Tackling Oversmoothing of GNNs with Contrastive Learning.

Lecheng Zheng, Dongqi Fu, Jingrui He

CoRR, 2021

DPPIN: A Biological Dataset of Dynamic Protein-Protein Interaction Networks.

Dongqi Fu, Jingrui He

CoRR, 2021

SDG: A Simplified and Dynamic Graph Neural Network.

Dongqi Fu, Jingrui He

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Local Motif Clustering on Time-Evolving Graphs.

Dongqi Fu, Dawei Zhou, Jingrui He

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020