Chen Chen

According to our database, Chen Chen authored at least 47 papers between 2009 and 2024.

Collaborative distances:

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

2024

Learning Hierarchical Task Structures for Few-shot Graph Classification.

Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li

ACM Trans. Knowl. Discov. Data, April, 2024

Certified Causal Defense with Generalizable Robustness.

Yiran Qiao, Yu Yin, Chen Chen, Jing Ma

CoRR, 2024

A Benchmark for Fairness-Aware Graph Learning.

Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li

CoRR, 2024

PyGDebias: A Python Library for Debiasing in Graph Learning.

Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

SD-Attack: Targeted Spectral Attacks on Graphs.

Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation.

Haochen Liu, Song Wang, Chen Chen, Jundong Li

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations.

Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Federated Graph Learning with Structure Proxy Alignment.

Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Adversarial Attacks on Fairness of Graph Neural Networks.

Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Fairness in Graph Mining: A Survey.

Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li

IEEE Trans. Knowl. Data Eng., October, 2023

Knowledge Editing for Large Language Models: A Survey.

Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li

CoRR, 2023

Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems.

Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti

CoRR, 2023

Few-shot Node Classification with Extremely Weak Supervision.

Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li

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

Federated Few-shot Learning.

Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection.

Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Spatial-Temporal Networks for Antibiogram Pattern Prediction.

Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Assigning Agents to Increase Network-Based Neighborhood Diversity.

Zirou Qiu, Andrew Yuan, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence.

Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications.

Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li

SIGKDD Explor., 2022

Fairness in Graph Mining: A Survey.

Yushun Dong, Jing Ma, Chen Chen, Jundong Li

CoRR, 2022

When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction.

Wanjie Tao, Liangyue Li, Chen Chen, Zulong Chen, Hong Wen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Graph Few-shot Learning with Task-specific Structures.

Song Wang, Chen Chen, Jundong Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Task-Adaptive Few-shot Node Classification.

Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li

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

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs.

Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics.

Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay.

Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Fast Connectivity Minimization on Large-Scale Networks.

Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong

ACM Trans. Knowl. Discov. Data, 2021

Incremental one-class collaborative filtering with co-evolving side networks.

Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong

Knowl. Inf. Syst., 2021

Deconfounding with Networked Observational Data in a Dynamic Environment.

Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li

Proceedings of the WSDM '21, 2021

Fairness-Aware Unsupervised Feature Selection.

Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

REFORM: Error-Aware Few-Shot Knowledge Graph Completion.

Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Unsupervised Hierarchical Feature Selection on Networked Data.

Yuzhe Zhang, Chen Chen, Minnan Luo, Jundong Li, Caixia Yan, Qinghua Zheng

Proceedings of the Database Systems for Advanced Applications, 2020

2019

Connectivity in Complex Networks: Measures, Inference and Optimization.

Chen Chen

PhD thesis, 2019

Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search.

Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng

Proceedings of the Database Systems for Advanced Applications, 2019

2018

Connectivity in Complex Networks: Measures, Inference and Optimization.

Chen Chen

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Multi-Layered Network Embedding.

Jundong Li, Chen Chen, Hanghang Tong, Huan Liu

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Network Connectivity Optimization: Fundamental Limits and Effective Algorithms.

Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Towards Optimal Connectivity on Multi-Layered Networks.

Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong

IEEE Trans. Knowl. Data Eng., 2017

Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective.

Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He

ACM Trans. Knowl. Discov. Data, 2017

On the eigen-functions of dynamic graphs: Fast tracking and attribution algorithms.

Chen Chen, Hanghang Tong

Stat. Anal. Data Min., 2017

VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in genome-wide association studies: Applied to Alzheimer's disease.

Qiao Liu, Chen Chen, Annie Gao, Hanghang Tong, Lei Xie

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Node Immunization on Large Graphs: Theory and Algorithms.

Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau

IEEE Trans. Knowl. Data Eng., 2016

Eigen-Optimization on Large Graphs by Edge Manipulation.

Chen Chen, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos

ACM Trans. Knowl. Discov. Data, 2016

FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks.

Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Fast Eigen-Functions Tracking on Dynamic Graphs.

Chen Chen, Hanghang Tong

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control.

Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2009

Transmission Cost of P2P Multicasting.

Ting Peng, Qinghua Zheng, Weimei Lv, Shan Jiang, Haipeng Du, Chen Chen

Proceedings of the 6th IEEE Consumer Communications and Networking Conference, 2009