Understanding and Tackling Over-Dilution in Graph Neural Networks
- Junhyun Lee
- Veronika Thost
- et al.
- 2025
- KDD 2025
Publications
26 results for Veronika Thost
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