Alternatives and similar repositories for TDAP

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

• Zehong-Wang / GFT
  GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
  ☆52Updated 5 months ago
• EdisonLeeeee / Awesome-Fair-Graph-Learning
  Paper List for Fair Graph Learning (FairGL).
  ☆142Updated last year
• kaize0409 / Awesome-Graph-OOD
  ☆82Updated last year
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆65Updated last year
• AndyJZhao / GraphText
  ☆34Updated last year
• XiaoxinHe / tape_arxiv_2023
  ☆39Updated 2 years ago
• EnyanDai / FairGNN
  A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…
  ☆69Updated 2 years ago
• snap-stanford / prodigy
  ☆102Updated 2 years ago
• kaize0409 / awesome-graph-data-augmentaion
  A curated list of publications and code about data augmentaion for graphs.
  ☆63Updated 3 years ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆85Updated 2 years ago
• CGCL-codes / GraphInstruct
  The benchmark proposed in paper: GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
  ☆21Updated 3 months ago
• ujeong1 / IEEEBigdata22_HGFND
  ☆36Updated 2 years ago
• mims-harvard / GNNDelete
  General Strategy for Unlearning in Graph Neural Networks
  ☆46Updated 2 years ago
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆51Updated 11 months ago
• yushundong / Graph-Mining-Fairness-Data
  Open-source datasets for paper "Fairness in Graph Mining: A Survey".
  ☆18Updated 3 years ago
• zhao-tong / SDM2023_Graph_Data_Augmentation_Tutorial
  Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning
  ☆21Updated 2 years ago
• chirag-agarwall / nifty
  Code for paper https://arxiv.org/abs/2102.13186
  ☆43Updated 4 years ago
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆87Updated last year
• GSL-Benchmark / GSLB
  A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
  ☆120Updated last year
• zhao-tong / graph-data-augmentation-papers
  A curated list of graph data augmentation papers.
  ☆314Updated last year
• XweiQ / Benchmark-GraphFairness
  The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)
  ☆12Updated last year
• amazon-science / gnn-tail-generalization
  ☆57Updated 2 years ago
• yimingxu24 / CLDG
  CLDG: Contrastive Learning on Dynamic Graphs (ICDE'23) | Learning dynamic graph representations through timespan view contrasts (NN'24)
  ☆28Updated 11 months ago
• agiresearch / InstructGLM
  Language is All a Graph Needs
  ☆263Updated 8 months ago
• RManLuo / ChatRule
  Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning with 1 dollar.
  ☆69Updated last year
• jma712 / GEAR
  ☆18Updated 3 years ago
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆227Updated last year
• yushundong / EDITS
  Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".
  ☆29Updated 3 years ago
• SitaoLuan / LLM4Graph
  ☆186Updated last year
• XiaoxinHe / iclr2024_learning_on_graphs
  List of papers on ICLR 2024
  ☆58Updated last year