Data-Efficient Graph Grammar Learning for Molecular Generation
- Minghao Guo
- Veronika Thost
- et al.
- 2022
- ICLR 2022
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20 results for Jie Chen
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
- Ruchir Puri
- David Kung
- et al.
- 2021
- NeurIPS 2021
Directed Acyclic Graph Neural Networks
- 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
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
- Giangiacomo Mercatali
- Andre Freitas
- et al.
- 2024
- NeurIPS 2024
Representing Molecules as Random Walks Over Interpretable Grammars
- Michael Sun
- Minghao Guo
- et al.
- 2024
- ICML 2024
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
- Zehao Niu
- Mihai Anitescu
- et al.
- 2023
- ICLR 2023
Influence Based Approaches to Algorithmic Fairness: A Closer Look
- Soumya Ghosh
- Prasanna Sattigeri
- et al.
- 2023
- NeurIPS 2023
c-MBA: Adversarial Attack for Cooperative MARL Using Learned Dynamics Model
- Nhan Pham
- Lam Nguyen
- et al.
- 2022
- NeurIPS 2022