Co-occurring keywords · papers mentioning both
graph neural network
(2)
graph representation learning
(2)
conformation generation
(1)
node representation
(1)
molecular representation learning
(1)
graph contrastive learning
(1)
denoising diffusion probabilistic model
(1)
molecular conformation generation
(1)
subgraph isomorphism
(1)
1-weisfeiler-lehman test
(1)
Papers
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
AAAI 2025
Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models
EMNLP 2025
SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
NeurIPS 2024
Union Subgraph Neural Networks
AAAI 2024
GNNExplainer: Generating Explanations for Graph Neural Networks
NeurIPS 2019