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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