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 3 years ago
• aiim-research / GRETEL
  GRETEL is a framework for the development and evaluation of Counterfactual Explanation methods for Graph Classifiers
  ☆16Updated 3 weeks ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆79Updated 2 years ago
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆47Updated last year
• luiscib3r / Solar-Rad-Forecasting
  In these notebooks the entire research and implementation process carried out for the construction of various machine learning models bas…
  ☆28Updated 3 years ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆86Updated last year
• flyingdoog / PGExplainer
  Parameterized Explainer for Graph Neural Network
  ☆132Updated last year
• zhao-tong / graph-data-augmentation-papers
  A curated list of graph data augmentation papers.
  ☆309Updated last year
• mertkosan / GCFExplainer
  Global Counterfactual Explainer for Graph Neural Networks
  ☆18Updated 2 years ago
• Hermina / fGOT
  Code accompanying the AAAI 2022 paper "fGOT: Graph Distances based on Filters and Optimal Transport"
  ☆15Updated 2 years ago
• 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…
  ☆140Updated 3 months ago
• fpour / TGB_Baselines
  TGB baselines for dynamic link property prediction
  ☆21Updated 4 months ago
• nd7141 / graph_datasets
  Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.
  ☆89Updated 5 years ago
• pykeen / ilpc2022
  🏅 KG Inductive Link Prediction Challenge (ILPC) 2022
  ☆85Updated 3 years ago
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆122Updated 2 years ago
• melifluos / subgraph-sketching
  code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
  ☆95Updated last year
• GemsLab / StrucEmbedding-GraphLibrary
  The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.
  ☆17Updated 2 years ago
• scottjiao / SlotGAT_ICML23
  ☆23Updated last year
• Leo-Q-316 / ImGAGN
  Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
  ☆27Updated 3 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆54Updated last year
• AaltoPML / PINT
  ☆19Updated 2 years ago
• snap-stanford / CAW
  ☆76Updated 2 years ago
• ChandlerBang / GCond
  [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"
  ☆137Updated 6 months ago
• seijimaekawa / empirical-study-of-GNNs
  ☆8Updated 2 years 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
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆50Updated 3 months ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆88Updated 3 years ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆101Updated 3 years ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆214Updated 11 months ago
• ZhenhHuang / LSEnet
  Hyperbolic Structural Entropy for Graph Clustering
  ☆21Updated last month