qitianwu/NodeFormer
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
$ git clone https://github.com/qitianwu/DIFFormer.gitThe official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Accelerated deep learning R&D
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. π26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. π Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
ε€ζ ηΎζζ¬εη±»οΌε€ζ ηΎεη±»οΌζζ¬εη±», multi-label, classifier, text classification, BERT, seq2seqοΌattention, multi-label-classification
Tensorflow implementation of attention mechanism for text classification tasks.
Data from GitHub Β· snapshot Sep 24, 2026