Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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12 results for Jie Chen

Data-Efficient Graph Grammar Learning for Molecular Generation
- - Minghao Guo
  - Veronika Thost
  - et al.
- 2022
- ICLR 2022
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
- - Enyan Dai
  - Jie Chen
- 2022
- ICLR 2022
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
- - Ruchir Puri
  - David Kung
  - et al.
- 2021
- NeurIPS 2021
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
- - Xiao Zang
  - Yi Xie
  - et al.
- 2021
- IJCAI 2021
Directed Acyclic Graph Neural Networks
- - Veronika Thost
  - Jie Chen
- 2021
- ICLR 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
- - Chao Shang
  - Jie Chen
  - et al.
- 2021
- ICLR 2021
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
- - Tengfei Ma
  - Jie Chen
- 2021
- AAAI 2021
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization
- - Gabriel Mancino-ball
  - Shengnan Miao
  - et al.
- 2023
- AAAI 2023
c-MBA: Adversarial Attack for Cooperative MARL Using Learned Dynamics Model
- - Nhan Pham
  - Lam Nguyen
  - et al.
- 2022
- NeurIPS 2022
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
- - Mark Weber
  - Giacomo Domeniconi
  - et al.
- 2019
- KDD 2019