Alternatives and similar repositories for gnn-from-scratch:

Users that are interested in gnn-from-scratch are comparing it to the libraries listed below

• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆100Updated 3 years ago
• zjost / blog_code
  A repo for holding example code
  ☆152Updated last year
• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆76Updated 3 months ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆182Updated 8 months ago
• aimat-lab / gcnn_keras
  Graph convolutions in Keras with TensorFlow, PyTorch or Jax.
  ☆112Updated last month
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆45Updated last year
• seokhokang / graphvae_approx
  Efficient Learning of Non-Autoregressive Graph Variational Autoencoders for Molecular Graph Generation
  ☆39Updated 4 years ago
• mengliu1998 / awesome-expressive-gnn
  A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
  ☆126Updated last year
• linafaik08 / graph_neural_networks
  ☆31Updated 2 years ago
• edvardlindelof / graph-neural-networks-for-drug-discovery
  ☆95Updated 4 years ago
• mnslarcher / cs224w-slides-to-code
  ☆58Updated 3 years ago
• benatorc / OTGNN
  OTGNN code
  ☆55Updated 4 years ago
• sw-gong / GNN-Tutorial
  Graph Neural Network Tutorial
  ☆186Updated 4 years ago
• Erfaan-Rostami / Hypergraph-and-Graph-Neural-Network-HGNN-GNN--
  Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecul…
  ☆54Updated last year
• balcilar / Spectral-Designed-Graph-Convolutions
  Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
  ☆50Updated 3 years ago
• gmum / graph-representations
  Comparing graph representations for molecular features prediction
  ☆21Updated last year
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆62Updated 3 years ago
• gncs / molgym
  Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
  ☆125Updated last year
• zetayue / MXMNet
  Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"
  ☆71Updated last year
• SeongokRyu / augmented-GCN
  ☆58Updated 6 years ago
• chrsmrrs / tudataset
  ☆92Updated last year
• sujitpal / pytorch-gnn-tutorial-odsc2021
  Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021
  ☆41Updated 3 years ago
• brain-research / mpnn
  Open source implementation of "Neural Message Passing for Quantum Chemistry"
  ☆235Updated 7 years ago
• google-research / graph-attribution
  Codebase for Evaluating Attribution for Graph Neural Networks.
  ☆74Updated 3 years ago
• shionhonda / gae-dgl
  Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
  ☆66Updated 2 years ago
• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆77Updated 3 years ago
• georgelamb19 / chempropBayes
  Bayesian MPNNs for Molecular Property Prediction
  ☆27Updated 4 years ago
• KacperKubara / ml-cookbook
  Machine learning notebooks and code used for demonstration purposes
  ☆24Updated 3 years ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆75Updated last year
• gbouritsas / GSN
  Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…
  ☆100Updated 3 years ago