Alternatives and similar repositories for GRAD

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

• snap-stanford / prodigy
  ☆100Updated 2 years ago
• Zehong-Wang / GFT
  GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
  ☆59Updated 8 months ago
• CurryTang / Towards-graph-foundation-models
  ☆91Updated 2 years ago
• Graph-COM / LLM_BP
  [ICML 2025] Generalization Principles for Inference over Text-Attributed Graphs with Large Language
  ☆20Updated 6 months ago
• PeterGriffinJin / Awesome-Multimodal-on-Graphs
  A curated list of papers and resources about multimodal learning on graphs.
  ☆42Updated 11 months ago
• RexYing / Rex-Ying-Thesis
  Rex Ying's Ph.D. Thesis, Stanford University
  ☆41Updated 3 years ago
• AndyJZhao / GraphText
  ☆34Updated 2 years ago
• vermouthdky / SimTeG
  Official Repo of SimTeG
  ☆43Updated last year
• AndyJZhao / GLEM
  ☆133Updated 10 months ago
• Graph-COM / GraphMaker
  [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
  ☆66Updated 9 months ago
• XiaoxinHe / tape_arxiv_2023
  ☆39Updated 2 years ago
• alibaba / graph-gpt
  Generative Pre-trained Graph Eulerian Transformer [ICML2025]
  ☆100Updated last month
• LechengKong / gdgnn
  ☆18Updated 3 years ago
• melifluos / subgraph-sketching
  code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
  ☆99Updated 2 years ago
• DeepGraphLearning / GraphAny
  GraphAny: Fully-inductive Node Classification on Arbitrary Graphs
  ☆149Updated last year
• YangLing0818 / VQGraph
  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  ☆103Updated last year
• divelab / GOOD
  GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
  ☆207Updated 11 months ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆91Updated 2 years ago
• DeepGraphLearning / InductiveQE
  Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)
  ☆46Updated 3 years ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆163Updated 2 years ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆83Updated 2 years ago
• Samyu0304 / Improving-Subgraph-Recognition-with-Variation-Graph-Information-Bottleneck-VGIB-
  graph neural networks, information theory, AI for Sciences
  ☆23Updated 3 years ago
• KiddoZhu / NBFNet-PyG
  PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆75Updated 3 years ago
• chr26195 / PMLP
  This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".
  ☆90Updated last year
• yuwvandy / Large-Graph-Generative-Model
  ☆29Updated last year
• LingxiaoShawn / GNNAsKernel
  Source code for From Stars to Subgraphs (ICLR 2022)
  ☆72Updated last year
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆50Updated last year
• VITA-Group / LLaGA
  [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
  ☆147Updated last year
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆49Updated 3 years ago
• nerdslab / bgrl
  PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
  ☆85Updated 2 years ago