Dongqi Fu

According to our database, Dongqi Fu authored at least 23 papers between 2020 and 2024.

Collaborative distances:

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

2024

PageRank Bandits for Link Prediction.

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

BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting.

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

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