Alternatives and similar repositories for GraphSVX

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

• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆191Updated last year
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆44Updated last year
• a-lucic / cf-gnnexplainer
  ☆61Updated 3 years 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…
  ☆54Updated 2 years ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆81Updated 2 years ago
• gbouritsas / GSN
  Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…
  ☆102Updated 4 years ago
• chrsmrrs / tudataset
  ☆95Updated 2 years ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆89Updated 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…
  ☆142Updated 6 months ago
• vunhatminh / PGMExplainer
  Generating PGM Explanation for GNN predictions
  ☆75Updated 2 years ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆52Updated 6 months ago
• twitter-research / feature-propagation
  ☆83Updated 3 years ago
• davidbuterez / gnn-neural-readouts
  ☆27Updated 6 months ago
• LarsHoldijk / RE-ParameterizedExplainerForGraphNeuralNetworks
  ☆56Updated 3 years ago
• DevinKreuzer / SAN
  ☆155Updated 3 years ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆103Updated 3 years ago
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆118Updated 4 years ago
• flyingdoog / PGExplainer
  Parameterized Explainer for Graph Neural Network
  ☆137Updated last year
• mengliu1998 / awesome-expressive-gnn
  A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
  ☆126Updated last year
• BorgwardtLab / TOGL
  Topological Graph Neural Networks (ICLR 2022)
  ☆124Updated 3 years ago
• nd7141 / graph_datasets
  Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.
  ☆89Updated 5 years ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆82Updated last year
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆232Updated 2 weeks ago
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆89Updated 2 years ago
• melifluos / subgraph-sketching
  code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
  ☆96Updated last year
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆157Updated last year
• danielegrattarola / SRC
  Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
  ☆62Updated 3 years ago
• Flawless1202 / VGAE_pyG
  An VGAE implementation using pytorch geometric.
  ☆46Updated 5 years ago
• maxiaoba / GRAPE
  ☆138Updated 4 years ago
• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆82Updated 8 months ago