Alternatives and similar repositories for pytorch_geometric_edge:

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

• AlexDuvalinho / HoscPool
  Higher-order clustering and pooling for GNNs
  ☆8Updated 2 years ago
• FilippoMB / The-expressive-power-of-pooling-in-GNNs
  Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023
  ☆37Updated last year
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated last year
• GraphPKU / BREC
  ☆21Updated 10 months ago
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆55Updated 2 years ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆77Updated last year
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆44Updated last year
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 4 months ago
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆46Updated 3 years ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆85Updated last year
• toenshoff / LRGB
  ☆21Updated last year
• jiaqingxie / Theories-of-Graph-Neural-Networks
  A List of Papers on Theoretical Foundations of Graph Neural Networks
  ☆30Updated 2 weeks ago
• ralphabb / GNN-RNI
  The codebase and datasets for the IJCAI 2021 paper "The Surprising Power of Graph Neural Networks with Random Node Initialization".
  ☆20Updated 3 years ago
• jctops / understanding-oversquashing
  ☆40Updated 2 years ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆82Updated last year
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆79Updated 4 years ago
• XiaoxinHe / icml2023_learning_on_graphs
  List of papers on ICML2023.
  ☆55Updated last year
• KarolisMart / SPECTRE
  Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …
  ☆26Updated 2 years ago
• ShichangZh / GStarX
  [NeurIPS 2022] Explaining Graph Neural Networks with Structure-Aware Cooperative Games (GStarX)
  ☆12Updated 2 years ago
• BenGutteridge / DRew
  ☆31Updated last year
• SherylHYX / pytorch_geometric_signed_directed
  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…
  ☆138Updated 2 months ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆14Updated last year
• AntonioLonga / ETNgen
  ETNgen: A temporal graph generator based on Egocentric Temporal Motifs
  ☆13Updated last year
• uoguelph-mlrg / GGM-metrics
  Official repository for the paper "On Evaluation Metrics for Graph Generative Models"
  ☆25Updated 3 years ago
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆118Updated 4 years ago
• ComplexData-MILA / TGX
  Temporal Graph Analysis with TGX
  ☆25Updated 6 months ago
• pyg-team / pyg-lib
  Low-Level Graph Neural Network Operators for PyG
  ☆191Updated this week
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆97Updated last year
• RexYing / Rex-Ying-Thesis
  Rex Ying's Ph.D. Thesis, Stanford University
  ☆42Updated 2 years ago
• muhanzhang / NestedGNN
  ☆57Updated 3 years ago