Alternatives and similar repositories for Stanford-CS224W-ML-with-Graphs:

Users that are interested in Stanford-CS224W-ML-with-Graphs are comparing it to the libraries listed below

• luciusssss / CS224W-Colab
  Solutions for CS224W Winter 2021 Colab
  ☆160Updated 9 months ago
• leehanchung / cs224w
  Stanford CS224W: Machine Learning with Graphs
  ☆19Updated 3 years ago
• mnslarcher / cs224w-slides-to-code
  ☆59Updated 3 years ago
• hdvvip / CS224W_Winter2021
  CS224W Stanford Winter 2021 Homework solutions
  ☆196Updated 3 years ago
• hypergraphlab / Hypergraph-Tutorial
  ☆58Updated 8 months ago
• snap-stanford / roland
  ☆133Updated last year
• karannb / cs224w
  Solutions to homework problems and programming assignments for Stanford's cs224w Machine Learning with Graphs (2021) course.
  ☆24Updated 3 weeks ago
• ciol-researchlab / SupplyGraph
  SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
  ☆42Updated 3 months ago
• sunxiaobei / awesome-attention-based-gnns
  A collection of resources on attention-based graph neural networks
  ☆70Updated last year
• njmarko / machine-learning-with-graphs
  My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)
  ☆29Updated 3 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"
  ☆35Updated last year
• sujitpal / pytorch-gnn-tutorial-odsc2021
  Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021
  ☆44Updated 3 years ago
• XiaoxinHe / iclr2024_learning_on_graphs
  List of papers on ICLR 2024
  ☆56Updated last year
• CurryTang / Towards-graph-foundation-models
  ☆87Updated last year
• samar-khanna / cs224w-project
  Final project for CS224W
  ☆12Updated 2 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆91Updated 2 weeks ago
• neo4j-product-examples / neo4j-gnn-llm-example
  GraphRAG on Neo4j by finetuning GNN+LLM
  ☆22Updated 3 weeks ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆100Updated 3 years ago
• THUMNLab / AutoGL-light
  ☆13Updated 10 months ago
• SitaoLuan / LLM4Graph
  ☆171Updated last year
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆198Updated 5 months ago
• keitabroadwater / gnns_in_action
  Code and Content for Manning Publication on Graph Neural Networks
  ☆77Updated last month
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆69Updated 2 years ago
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆278Updated last year
• kaize0409 / awesome-graph-data-augmentaion
  A curated list of publications and code about data augmentaion for graphs.
  ☆64Updated 2 years ago
• mlabonne / graph-neural-network-course
  Free hands-on course about Graph Neural Networks using PyTorch Geometric.
  ☆351Updated last year
• GSL-Benchmark / GSLB
  A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
  ☆115Updated last year
• HKUDS / Awesome-LLM4Graph-Papers
  [KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
  ☆310Updated last month
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆68Updated 6 months ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆217Updated 3 weeks ago