Co-occurring keywords · papers mentioning both
Papers
Learning Substructure Invariance for Out-of-Distribution Molecular Representations
NeurIPS 2022
Molecular Contrastive Learning with Chemical Element Knowledge Graph
AAAI 2022
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
ICML 2022
Multilingual Molecular Representation Learning via Contrastive Pre-training
ACL 2022
Deep Molecular Representation Learning via Fusing Physical and Chemical Information
NeurIPS 2021
Self-Supervised Graph Transformer on Large-Scale Molecular Data
NeurIPS 2020
Learning Invariant Representations of Molecules for Atomization Energy Prediction
NeurIPS 2012