Publications

26 results for Veronika Thost

Understanding and Tackling Over-Dilution in Graph Neural Networks
- - Junhyun Lee
  - Veronika Thost
  - et al.
- 2025
- KDD 2025
Heterogeneous Multitask Learning Across the Chemical Space
- - Thiago Reschutzegger
  - Yann Amado
  - et al.
- 2025
- ACS Spring 2025
A Graph per Persona: Reasoning about Subjective Natural Language Descriptions
- - Eunjeong Hwang
  - Vered Shwartz
  - et al.
- 2024
- ACL 2024
Representing Molecules as Random Walks Over Interpretable Grammars
- - Michael Sun
  - Minghao Guo
  - et al.
- 2024
- ICML 2024
Masking in Molecular Graphs Leveraging Reaction Context
- - Jiannan Yang
  - Veronika Thost
  - 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
Knowledge Graph Compression for Enhancing Diverse Commonsense Generation
- - Eunjeong Hwang
  - Veronika Thost
  - et al.
- 2023
- EMNLP 2023
Transformers over Directed Acyclic Graphs
- - Yuankai Luo
  - Veronika Thost
  - et al.
- 2023
- LoG 2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
- - Minghao Guo
  - Veronika Thost
  - et al.
- 2023
- ICML 2023