Alternatives and similar repositories for CS224W-Fall2021:

Users that are interested in CS224W-Fall2021 are comparing it to the libraries listed below

• PolarisRisingWar / cs224w-2021-winter-colab
  cs224w（图机器学习）2021冬季课程的colab
  ☆238Updated 3 years ago
• Yasoz / cs224w-zh
  CS224W-Chinese-Notes CS224W中文笔记
  ☆64Updated 2 years ago
• logseminar / Schedule
  Schedule for learning on graphs seminar
  ☆109Updated last year
• matenure / GNNbook_related
  《图神经网络：基础与前沿》相关资料
  ☆46Updated 3 years ago
• DGraphXinye / DGraphFin_baseline
  This is a repository contaning baseline code for DGraphFin Dataset
  ☆120Updated last year
• ZZy979 / pytorch-tutorial
  PyTorch示例代码；复现GNN模型
  ☆121Updated 3 years ago
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆292Updated 8 months ago
• zhulei227 / GNN_Notes
  图神经网络(GNN)学习笔记
  ☆69Updated 3 years ago
• langgege-cqu / maxp_dgl
  2021MXAP-DGL rank2
  ☆35Updated 3 years ago
• LiuChuang0059 / Graph_Neural_Network_Learning
  图神经网络(图卷积网络) 个人学习总结
  ☆112Updated 2 years ago
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆166Updated last year
• datawhalechina / grape-book
  图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book
  ☆225Updated 11 months ago
• luciusssss / CS224W-Colab
  Solutions for CS224W Winter 2021 Colab
  ☆160Updated 8 months ago
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆277Updated last year
• Data-Centric-GraphML / awesome-papers
  A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).
  ☆46Updated last year
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆135Updated last year
• hdvvip / CS224W_Winter2021
  CS224W Stanford Winter 2021 Homework solutions
  ☆196Updated 2 years ago
• twelfth-star / CS224W-Winter2023
  斯坦福 CS224W（2023 Winter）的中文笔记、作业与Colab | Chinese notes, homwork and colabs of Stanford CS224W (2023 Winter)
  ☆37Updated last year
• OpenGSL / OpenGSL
  ☆171Updated 2 months ago
• oxaza / -Note-Machine-Learning-with-Graph
  图机器学习（斯坦福课程cs224w）学习笔记
  ☆24Updated 3 years ago
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆55Updated 10 months ago
• Graph-COM / GSAT
  [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
  ☆166Updated last year
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆121Updated last year
• THUMNLab / awesome-auto-graph-learning
  A paper collection about automated graph learning
  ☆97Updated 9 months ago
• ICT-GIMLab / SeHGNN
  ☆107Updated last year
• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆125Updated 4 years ago
• zjcanjux / DeepLearning-Wangshu
  B站，小红书，知乎同名
  ☆13Updated 2 years ago
• BUPT-GAMMA / GammaGL
  A multi-backend graph learning library.
  ☆232Updated last week
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆63Updated last year
• kynehc / clone_anonymous_github
  clone/download repositories from https://anonymous.4open.science/
  ☆86Updated 2 years ago