qitianwu/GraphOOD-EERM

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Python
Created over 2 years ago
Updated about 2 years ago

qitianwu/GraphOOD-EERM

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The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"

DIFFormer

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

NodeFormer

The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

Jupyter Notebook

SGFormer

The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"

DANSER-WWW-19

GraphOOD-GNNSafe

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

IDCF

Code for ICML21 spotlight paper "Towards open-world recommendation: An inductive model-based collaborative filtering approach"

FATE

Codes and datasets for NeurIPS21 paper “Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach”

DEEMS-KDD-19

SteinBridging