Alternatives and similar repositories for GraphAny:

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

• CurryTang / Towards-graph-foundation-models
  ☆87Updated last year
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆201Updated 5 months ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆85Updated last year
• melifluos / subgraph-sketching
  code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
  ☆96Updated last year
• iDEA-iSAIL-Lab-UIUC / pyg-ssl
  Graph Self-Supervised Learning Toolkit
  ☆33Updated last month
• Zehong-Wang / GFT
  GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
  ☆42Updated last month
• yuwvandy / Large-Graph-Generative-Model
  ☆27Updated 9 months ago
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆44Updated last year
• snap-stanford / prodigy
  ☆90Updated last year
• google-research / talk-like-a-graph
  ☆135Updated 7 months ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆186Updated 11 months ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆217Updated this week
• Graph-COM / GraphMaker
  [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
  ☆56Updated this week
• XiaoxinHe / iclr2024_learning_on_graphs
  List of papers on ICLR 2024
  ☆56Updated last year
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆158Updated last year
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆82Updated last year
• DeepGraphLearning / AStarNet
  Official implementation of A* Networks
  ☆142Updated last year
• VITA-Group / LLaGA
  [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
  ☆109Updated 7 months ago
• GSL-Benchmark / GSLB
  A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
  ☆115Updated last year
• XiaoxinHe / icml2023_learning_on_graphs
  List of papers on ICML2023.
  ☆55Updated last year
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆48Updated 3 months ago
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆194Updated 3 months ago
• SitaoLuan / LLM4Graph
  ☆172Updated last year
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆42Updated 4 months ago
• KiddoZhu / NBFNet-PyG
  PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆68Updated 2 years ago
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆55Updated 2 years ago
• snap-stanford / relbench
  RelBench: Relational Deep Learning Benchmark
  ☆253Updated 2 weeks ago
• cmavro / GRAD
  [ECML-PKDD 2023] Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
  ☆30Updated last year
• AndyJZhao / GraphText
  ☆30Updated last year
• GraphPKU / NeuralCommonNeighbor
  ☆43Updated 8 months ago