jcyl

jcyl's Stars

• apachecn/ailearning

  AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

  Language:Python39.6k1.7k11411.5k

• akveo/ngx-admin

  Customizable admin dashboard template based on Angular 10+

  Language:TypeScript25.3k8771.8k8k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.1k600183k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.6k1762.8k3k

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.8k25214780

• microsoft/Graphormer

  Graphormer is a general-purpose deep learning backbone for molecular modeling.

  Language:Python2.2k31155337

• acbull/pyHGT

  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

  Language:Python8001454163

• acbull/GPT-GNN

  Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

  Language:Python487134987

• THUDM/HGB

  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

  Language:Python30976149

• liun-online/HeCo

  The source code of HeCo

  Language:Python15831622

• kashif/ICLR2022-OpenReviewData

  Crawl & visualize ICLR papers and reviews.

  Language:Jupyter Notebook1073011

• DeepGraphLearning/GraphLoG

  Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).

  Language:Python778319

• hengruizhang98/CCA-SSG

  Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484

  Language:Python68177

• Sean-Huang65/AUX-TS

  official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"

  Language:Python42214

• ChandlerBang/AutoSSL

  [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"

  Language:Python41503

• EnyanDai/NRGNN

  Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs" (KDD 2021).

  Language:Python403412

• flyingtango/DiGCL

  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

  Language:Python35222

• liangchundong/HGNN-AC

  Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"

  Language:Python35163

• jerryhao66/Pretrain-Recsys

  Language:Python34112

• BUPT-GAMMA/PTHGNN

  source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".

  Language:Python22477

• LEAP-WS/CGPN

  This is the repository for the NeurIPS-21 paper [Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels].

  Language:Python13203

• riktor/KGPL

  A tensorflow implementation of KGPL

  Language:Python10101

• huolongshe/learningnotes

  My learning notes

  5000