Chen Chen

Orcid: 0000-0002-7099-7905

Affiliations:
  • University of Virginia, Charlottesville, VA, USA
  • Google Inc., Menlo Park, CA, USA (former)
  • Arizona State University, Tempe, AZ, USA (PhD 2019)


According to our database1, Chen Chen authored at least 39 papers between 2015 and 2024.

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Bibliography

2024
Learning Hierarchical Task Structures for Few-shot Graph Classification.
ACM Trans. Knowl. Discov. Data, April, 2024

2023
Fairness in Graph Mining: A Survey.
IEEE Trans. Knowl. Data Eng., October, 2023

Knowledge Editing for Large Language Models: A Survey.
CoRR, 2023

Adversarial Attacks on Fairness of Graph Neural Networks.
CoRR, 2023

Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems.
CoRR, 2023

Few-shot Node Classification with Extremely Weak Supervision.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Federated Few-shot Learning.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Spatial-Temporal Networks for Antibiogram Pattern Prediction.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Assigning Agents to Increase Network-Based Neighborhood Diversity.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications.
SIGKDD Explor., 2022

Fairness in Graph Mining: A Survey.
CoRR, 2022

When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction.
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.
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.
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.
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Fast Connectivity Minimization on Large-Scale Networks.
ACM Trans. Knowl. Discov. Data, 2021

Incremental one-class collaborative filtering with co-evolving side networks.
Knowl. Inf. Syst., 2021

Deconfounding with Networked Observational Data in a Dynamic Environment.
Proceedings of the WSDM '21, 2021

Fairness-Aware Unsupervised Feature Selection.
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.
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.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
Connectivity in Complex Networks: Measures, Inference and Optimization.
PhD thesis, 2019

Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
Connectivity in Complex Networks: Measures, Inference and Optimization.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Multi-Layered Network Embedding.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Network Connectivity Optimization: Fundamental Limits and Effective Algorithms.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Towards Optimal Connectivity on Multi-Layered Networks.
IEEE Trans. Knowl. Data Eng., 2017

Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective.
ACM Trans. Knowl. Discov. Data, 2017

On the eigen-functions of dynamic graphs: Fast tracking and attribution algorithms.
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.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Node Immunization on Large Graphs: Theory and Algorithms.
IEEE Trans. Knowl. Data Eng., 2016

Eigen-Optimization on Large Graphs by Edge Manipulation.
ACM Trans. Knowl. Discov. Data, 2016

FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Fast Eigen-Functions Tracking on Dynamic Graphs.
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.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015


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