Alternatives and similar repositories for RDB2G-Bench

Users that are interested in RDB2G-Bench are comparing it to the libraries listed below

• NAVER-INTEL-Co-Lab / gaudi-geometric-learning
  Handbook for Geometric Deep Learning with Intel Gaudi-v2 Devices
  ☆21Updated 10 months ago
• K-Kyungho / PET
  Official code for "Towards Better Utilzation of Multiple Views for Bundle Recommendation" (CIKM 24 Short)
  ☆21Updated last year
• ShinhwanKang / BeGin
  Easy-to-use framework for graph continual learning with Python
  ☆38Updated last year
• young917 / EdgeDependentNodeLabel
  KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs
  ☆19Updated last year
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆65Updated last year
• jihoonko / asonam20-monstor
  ☆10Updated 5 years ago
• GraphPKU / NeuralCommonNeighbor
  ☆50Updated last year
• AndyJZhao / Gophormer
  ☆22Updated 3 years ago
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆122Updated 2 years ago
• myflashbarry / LLM-benchmarking
  ☆18Updated 10 months ago
• Juanhui28 / HeaRT
  ☆60Updated last year
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆48Updated last year
• yuwvandy / FairVGNN
  ☆27Updated 3 years ago
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆84Updated 7 months ago
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆53Updated 3 years ago
• zylMozart / Disentangle_GraphHom
  [Neurips 2024] Disentangled Graph Homophily
  ☆27Updated 11 months ago
• kswoo97 / pcl
  Published as a journal paper at DAMI 2023
  ☆16Updated 11 months ago
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆109Updated last year
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆124Updated 3 years ago
• Junseok0207 / M3S_Pytorch
  Pytorch implementation of "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes"
  ☆18Updated 3 years ago
• tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
  Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
  ☆38Updated 2 years ago
• RingBDStack / GC-Bench
  An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)
  ☆20Updated last year
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆53Updated last year
• junhongmit / H2GB
  A large-scale node-classification graph benchmark that brings together both the heterophily and heterogeneity properties of real-world gr…
  ☆37Updated 5 months ago
• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆35Updated last year
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆66Updated 2 years ago
• geon0325 / THyMe
  Source code for KAIS (2023) paper "Temporal Hypergraph Motifs" and ICDM 2021 paper "THyMe+: Temporal Hypergraph Motifs and Fast Algorithm…
  ☆13Updated 2 years ago
• YuanchenBei / Awesome-Graph-Transfer-Learning
  A curated list of papers on graph transfer learning (GTL).
  ☆18Updated 2 years ago
• JiaruiFeng / TAGLAS
  An atlas of text-attributed graph datasets in the era of large graph and language model.
  ☆65Updated last year
• yuwvandy / CAGCN
  This repository includes the implementation of CAGCN and the experiments on link prediction/node classification
  ☆54Updated 2 years ago