IPC: A Benchmark Data Set for Learning with Graph-Structured Data
- Patrick Ferber
- Tengfei Ma
- et al.
- 2019
- ICML 2019
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20 results for Jie Chen
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
- Xiao Zang
- Yi Xie
- et al.
- 2021
- IJCAI 2021
Identifying Money Laundering Subgraphs on the Blockchain
- Kiwhan Song
- Mohamed Ali Dhraief
- et al.
- 2024
- ICAIF 2024
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching
- Tim Kaler
- Alexandros-stavros Iliopoulos
- et al.
- 2023
- MLSys 2023
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining
- Tim Kaler
- Nickolas Stathas
- et al.
- 2022
- MLSys 2022
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
- Mark Weber
- Giacomo Domeniconi
- et al.
- 2019
- KDD 2019
Parallel and Distributed Asynchronous Adaptive Stochastic Gradient Methods
- Yangyang Xu
- Yibo Xu
- et al.
- 2023
- Mathematical Programming Computation
Attacking c-MARL More Effectively: A Data Driven Approach
- Nhan Pham
- Lam Nguyen
- et al.
- 2023
- ICDM 2023
Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization
- Han Huang
- Jiajia Yu
- et al.
- 2023
- Journal of Computational Physics
A Decentralized Primal-Dual Framework for Non-convex Smooth Consensus Optimization
- Gabriel Mancino-ball
- Yangyang Xu
- et al.
- 2023
- IEEE TSP