Tag: 机器学习

Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation

How Powerful are Spectral Graph Neural Networks

3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design

GLASS: GNN with Labeling Tricks for Subgraph Representation Learning

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Latent Diffusion Energy-Based Model for Interpretable Text Modeling

Decoupling the Depth and Scope of Graph Neural Networks

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning

Nested Graph Neural Networks

Unsupervised Foreground Extraction via Deep Region Competition