Alternatives and similar repositories for cs224w

Users that are interested in cs224w are comparing it to the libraries listed below

• PacktPublishing / Graph-Machine-Learning
  Graph Machine Learning, published by Packt
  ☆296Updated last month
• sujitpal / pytorch-gnn-tutorial-odsc2021
  Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021
  ☆44Updated 3 years ago
• AndrewSpano / Stanford-CS224W-ML-with-Graphs
  Solutions to assignments of the CS224W Machine Learning with Graphs course from Stanford University.
  ☆46Updated 3 years ago
• keitabroadwater / gnns_in_action
  Code and Content for Manning Publication on Graph Neural Networks
  ☆94Updated 6 months ago
• mnslarcher / cs224w-slides-to-code
  ☆60Updated 3 years ago
• kyawlin / GNN-finance
  Curated list of Graph Neural Network Applications in Business, Finance and Banking
  ☆96Updated last year
• zjost / blog_code
  A repo for holding example code
  ☆157Updated 2 months ago
• luciusssss / CS224W-Colab
  Solutions for CS224W Winter 2021 Colab
  ☆167Updated last year
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆103Updated 3 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆88Updated 6 years ago
• waittim / graph-fraud-detection
  Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.
  ☆41Updated 4 years ago
• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆122Updated 4 years ago
• alexandrainst / responsible-ai
  Responsible AI knowledge base
  ☆105Updated 2 years ago
• AntonioLonga / Explaining-the-Explainers-in-Graph-Neural-Networks
  Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
  ☆36Updated last year
• goodboychan / goodboychan.github.io
  jupyter blog
  ☆130Updated last year
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆102Updated 2 years ago
• AntonsRuberts / graph_ml
  Projects that involve graph datasets
  ☆15Updated 4 years ago
• PacktPublishing / Graph-Data-Science-with-Neo4j
  Graph Data Science with Neo4j, Published by Packt
  ☆51Updated last year
• PacktPublishing / Hands-On-Explainable-AI-XAI-with-Python
  Explainable AI with Python, published by Packt
  ☆164Updated 2 years ago
• xbresson / CS5242_2021
  Neural Networks and Deep Learning, NUS CS5242, 2021
  ☆190Updated 3 years ago
• xbresson / CS4243_2022
  Computer Vision and Pattern Recognition, NUS CS4243, 2022
  ☆172Updated 3 years ago
• IBM / Multi-GNN
  Multi-GNN architectures for Anti-Money Laundering.
  ☆87Updated last year
• Graphlet-AI / graphml-class
  Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
  ☆77Updated 6 months ago
• alenegro81 / gpml
  This repo contains all the code required by the book organized by chapter
  ☆74Updated 3 years ago
• emreakoz / money-laundering-detection
  This repository builds an anti-money laundering scheme employing graph theory and social network analysis to detect the sophisticated lay…
  ☆20Updated 6 years ago
• mlabonne / graph-neural-network-course
  Free hands-on course about Graph Neural Networks using PyTorch Geometric.
  ☆392Updated 2 years ago
• zahta / Graph-Machine-Learning
  Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics…
  ☆21Updated 7 months ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆244Updated last year
• skth5199 / graph-based-fraud-detection
  Fraud detection using Graph Convolutional Networks
  ☆12Updated 3 years ago
• cj2001 / nodes2021_kg_workshop
  ☆168Updated 3 years ago