jcyl

jcyl's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.4k7541.3k7.9k

• ivy-llc/ivy

  Convert Machine Learning Code Between Frameworks

  Language:Python14k7116.9k5.7k

• django-crispy-forms/django-crispy-forms

  The best way to have DRY Django forms. The app provides a tag and filter that lets you quickly render forms in a div format while providing an enormous amount of capability to configure and control the rendered HTML.

  Language:Python5k115693734

• synercys/annotated_latex_equations

  Examples of how to create colorful, annotated equations in Latex using Tikz.

  Language:TeX3.8k383216

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k1771691

• bugaosuni59/TH-CPL

  清华大学计算机学科推荐学术会议和期刊列表

  Language:PHP924202112

• kimiyoung/planetoid

  Semi-supervised learning with graph embeddings

  Language:Python8902220299

• hushidong/biblatex-gb7714-2015

  A biblatex implementation of the GB/T7714-2015 bibliography style || GB/T 7714-2015 参考文献著录和标注的biblatex样式包

  Language:TeX7731518384

• PetarV-/DGI

  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

  Language:Python6301219135

• twjiang/graphSAGE-pytorch

  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

  Language:Python6291022151

• CheckBoxStudio/BUAAThesis

  北航研究生学位论文模板（Word+LaTeX）.

  Language:TeX547962110

• marlin-codes/Awesome-Hyperbolic-Representation-and-Deep-Learning

  Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

  3759231

• CUAI/CorrectAndSmooth

  [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)

  Language:Python285101452

• kavehhassani/mvgrl

  Language:Python259101646

• CRIPAC-DIG/GCA

  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

  Language:Python1633927

• benedekrozemberczki/MUSAE

  The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)

  Language:Python1595821

• yandex-research/heterophilous-graphs

  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?

  Language:Python99147

• ChandlerBang/SimP-GCN

  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

  Language:Python603912

• yixinliu233/GREET

  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating

  Language:Python49224

• GitEventhandler/H2GCN-PyTorch

  A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs".

  Language:Python32139

• kepsail/SHGP

  NeurIPS 2022 - SHGP

  Language:Python29242

• tengxiao1/GraphACL

  GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)

  Language:Python24233

• JialuChenChina/ASP

  The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)

  Language:Python20230

• Junseok0207/M3S_Pytorch

  Pytorch implementation of "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes"

  Language:Python18102

• SitaoLuan/When-Do-GNNs-Help

  Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability"

  Language:Python18504

• zyzisastudyreallyhardguy/GOAL-Graph-Complementary-Learning

  The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs"

  Language:Python15402

• Sherrylone/M-Mix

  SIGKDD 2022 paper

  Language:Python9130

• zwt233/IGP

  Active Learning for GNN (ICLR'22)

  9125

• cbellei/LabelGCN

  Language:Python8210

• zrgcityu/PEGFAN

  Language:Python2100