qitianwu/DIFFormer

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

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

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

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Graph Neural Network Library for PyTorch

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

Distributed PyTorch implementation of multi-headed graph convolutional neural networks

DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch