Pinned

1. SGFormer SGFormer Public

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

   Python 177 13

2. GraphOOD-EERM GraphOOD-EERM Public

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

   Python 74 9

3. DIFFormer DIFFormer Public

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

   Python 272 31

4. GraphOOD-GNNSafe GraphOOD-GNNSafe Public

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

   Python 68 4

5. NodeFormer NodeFormer Public

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

   Jupyter Notebook 263 25

6. FATE FATE Public

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

   Python 21 9