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1. SGFormer SGFormer Public

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

   Python 244 20

2. GraphOOD-EERM GraphOOD-EERM Public

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

   Python 82 9

3. DIFFormer DIFFormer Public

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

   Python 303 32

4. GraphOOD-GNNSafe GraphOOD-GNNSafe Public

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

   Python 76 5

5. NodeFormer NodeFormer Public

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

   Jupyter Notebook 296 29

6. IDCF IDCF Public

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

   Python 25 6