Understanding and Tackling Over-Dilution in Graph Neural Networks
- Junhyun Lee
- Veronika Thost
- et al.
- 2025
- KDD 2025
Conference paper
Publications
26 results for Veronika Thost
Heterogeneous Multitask Learning Across the Chemical Space
- Thiago Reschutzegger
- Yann Amado
- et al.
- 2025
- ACS Spring 2025
TalkA Graph per Persona: Reasoning about Subjective Natural Language Descriptions
- Eunjeong Hwang
- Vered Shwartz
- et al.
- 2024
- ACL 2024
PaperRepresenting Molecules as Random Walks Over Interpretable Grammars
- Michael Sun
- Minghao Guo
- et al.
- 2024
- ICML 2024
Conference paperMasking in Molecular Graphs Leveraging Reaction Context
- Jiannan Yang
- Veronika Thost
- et al.
- 2024
- ICML 2024
Workshop paperTransformers over Directed Acyclic Graphs
- Yuankai Luo
- Veronika Thost
- et al.
- 2023
- NeurIPS 2023
Conference paperImproved Self-supervised Molecular Representation Learning using Persistent Homology
- Yuankai Luo
- Lei Shi
- et al.
- 2023
- NeurIPS 2023
Conference paperKnowledge Graph Compression for Enhancing Diverse Commonsense Generation
- Eunjeong Hwang
- Veronika Thost
- et al.
- 2023
- EMNLP 2023
Conference paperTransformers over Directed Acyclic Graphs
- Yuankai Luo
- Veronika Thost
- et al.
- 2023
- LoG 2023
Conference paperHierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
- Minghao Guo
- Veronika Thost
- et al.
- 2023
- ICML 2023
Conference paper