Alternatives and similar repositories for GRETEL:

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

• twitter-research / feature-propagation
  ☆82Updated 2 years ago
• aiim-research / GRETEL
  GRETEL is a framework for the development and evaluation of Counterfactual Explanation methods for Graph Classifiers
  ☆16Updated last week
• 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…
  ☆137Updated 2 months ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆77Updated 2 years ago
• snap-research / graphless-neural-networks
  [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
  ☆88Updated 5 months ago
• AaltoPML / PINT
  ☆19Updated 2 years ago
• snap-stanford / roland
  ☆134Updated last year
• scottjiao / SlotGAT_ICML23
  ☆23Updated 11 months ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆229Updated last year
• GSL-Benchmark / GSLB
  A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
  ☆114Updated last year
• KimMeen / Neural-Temporal-Walks
  [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…
  ☆53Updated 2 years ago
• qianghuangwhu / benchtemp
  BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
  ☆20Updated last year
• snap-stanford / CAW
  ☆76Updated 2 years ago
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆46Updated last year
• mertkosan / GCFExplainer
  Global Counterfactual Explainer for Graph Neural Networks
  ☆18Updated 2 years ago
• OneForward / UniGNN
  Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).
  ☆66Updated 3 years ago
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆69Updated 2 years ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆216Updated 2 weeks ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆32Updated 3 years ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆58Updated 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
• amazon-science / tgl
  ☆203Updated last year
• kaize0409 / awesome-graph-data-augmentaion
  A curated list of publications and code about data augmentaion for graphs.
  ☆64Updated 2 years ago
• RManLuo / CP-GNN
  Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…
  ☆38Updated 3 years ago
• DaDaCheng / WalkPooling
  ☆48Updated 2 years ago
• CUAI / Non-Homophily-Benchmarks
  [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs
  ☆112Updated 3 years ago
• ICT-GIMLab / SeHGNN
  ☆110Updated last year
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆68Updated 5 months ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆82Updated last year
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆62Updated 11 months ago