Alternatives and similar repositories for gnn_logic_global_expl

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

• mertkosan / GCFExplainer
  Global Counterfactual Explainer for Graph Neural Networks
  ☆19Updated 2 years ago
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆34Updated 7 months ago
• Louise-LuLin / GCL-SPAN
  Code for the paper "Spectrum Guided Topology Augmentation for Graph Contrastive Learning"
  ☆11Updated last year
• GraphPKU / NeuralCommonNeighbor
  ☆47Updated 10 months ago
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆44Updated 6 months ago
• AndyJZhao / GLEM
  ☆128Updated 2 months ago
• wondergo2017 / DIDA
  Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
  ☆21Updated 2 years ago
• cshhzhao / GCOPE
  Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…
  ☆39Updated 8 months ago
• lsh0520 / RGCL
  Ratioanle-aware Graph Contrastive Learning codebase
  ☆43Updated 2 years ago
• DM2-ND / CFLP
  Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
  ☆68Updated 2 years ago
• Juanhui28 / HeaRT
  ☆54Updated 9 months ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆83Updated 7 months ago
• susheels / adgcl
  Adversarial Graph Augmentation to Improve Graph Contrastive Learning
  ☆88Updated 3 years ago
• CUAI / Non-Homophily-Benchmarks
  [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs
  ☆113Updated 3 years ago
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆80Updated 3 years ago
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆123Updated 2 years ago
• yzjiao / Subg-Con
  Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
  ☆45Updated 3 years ago
• tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
  Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
  ☆37Updated last year
• yuwvandy / FairVGNN
  ☆26Updated 2 years ago
• snap-stanford / prodigy
  ☆93Updated last year
• liun-online / SpCo
  The source code of SpCo
  ☆34Updated 2 years ago
• nerdslab / bgrl
  PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
  ☆80Updated last year
• liun-online / CoGSL
  Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression
  ☆24Updated last year
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆101Updated last year
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆54Updated last year
• Graph-and-Geometric-Learning / D4Explainer
  Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"
  ☆21Updated last year
• hieubkvn123 / revisiting-gnn-curvature
  Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper
  ☆17Updated 2 years ago
• XweiQ / Benchmark-GraphFairness
  The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)
  ☆12Updated 8 months ago
• kepsail / SHGP
  NeurIPS 2022 - SHGP
  ☆31Updated last year
• fpour / DGB
  Dynamic Graph Benchmark
  ☆81Updated 2 years ago