qitianwu/SGFormer

The official implementation of NeurIPS2022 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

The official implementation for ICLR2023 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

(ICML 2026) GraphPFN: A Prior-Data Fitted Graph Foundation Model

The official implementation for ICLR2023 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets".

Locally Private Graph Neural Networks (ACM CCS 2021)

Graph Neural Network Library for PyTorch

Code and Content for Manning Publication on Graph Neural Networks

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)