Data-Efficient Graph Grammar Learning for Molecular Generation
- Minghao Guo
- Veronika Thost
- et al.
- 2022
- ICLR 2022
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23 results for Veronika Thost
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
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
- Maxwell Crouse
- Ibrahim Abdelaziz
- et al.
- 2021
- AAAI 2021
Infusing knowledge into the textual entailment task using graph convolutional networks
- Pavan Kapanipathi
- Veronika Thost
- et al.
- 2020
- AAAI 2020
Representing Molecules as Random Walks Over Interpretable Grammars
- Michael Sun
- Minghao Guo
- et al.
- 2024
- ICML 2024
Transformers over Directed Acyclic Graphs
- Yuankai Luo
- Veronika Thost
- et al.
- 2023
- NeurIPS 2023
Improved Self-supervised Molecular Representation Learning using Persistent Homology
- Yuankai Luo
- Lei Shi
- et al.
- 2023
- NeurIPS 2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
- Minghao Guo
- Veronika Thost
- et al.
- 2023
- ICML 2023
Masking in Molecular Graphs Leveraging Reaction Context
- Jiannan Yang
- Veronika Thost
- et al.
- 2024
- ICML 2024