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
• AndyJZhao / GraphText
  ☆33Updated last year
• PeterGriffinJin / Awesome-Multimodal-on-Graphs
  A curated list of papers and resources about multimodal learning on graphs.
  ☆37Updated 8 months ago
• DeepGraphLearning / InductiveQE
  Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)
  ☆46Updated 2 years ago
• Zehong-Wang / GFT
  GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
  ☆52Updated 5 months ago
• alibaba / graph-gpt
  Generative Pre-trained Graph Eulerian Transformer [ICML2025]
  ☆90Updated 3 months ago
• vermouthdky / SimTeG
  Official Repo of SimTeG
  ☆42Updated last year
• AndyJZhao / GLEM
  ☆129Updated 6 months ago
• DeepGraphLearning / GraphAny
  GraphAny: Fully-inductive Node Classification on Arbitrary Graphs
  ☆147Updated 8 months ago
• XiaoxinHe / tape_arxiv_2023
  ☆39Updated 2 years ago
• KiddoZhu / NBFNet-PyG
  PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆75Updated 3 years ago
• VITA-Group / LLaGA
  [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
  ☆134Updated last year
• Graph-COM / GraphMaker
  [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
  ☆64Updated 6 months ago
• CurryTang / Towards-graph-foundation-models
  ☆90Updated 2 years ago
• DeepGraphLearning / AStarNet
  Official implementation of A* Networks
  ☆150Updated 2 years ago
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆47Updated 10 months ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆49Updated 3 years ago
• JiaruiFeng / TAGLAS
  An atlas of text-attributed graph datasets in the era of large graph and language model.
  ☆64Updated 10 months ago
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆85Updated last year
• Graph-COM / LLM_BP
  [ICML 2025] Generalization Principles for Inference over Text-Attributed Graphs with Large Language
  ☆14Updated 3 months ago
• nerdslab / bgrl
  PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
  ☆82Updated 2 years ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆82Updated 2 years ago
• RexYing / Rex-Ying-Thesis
  Rex Ying's Ph.D. Thesis, Stanford University
  ☆41Updated 3 years ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆91Updated last year
• XiaoxinHe / TAPE
  Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…
  ☆249Updated 6 months ago
• yxzwang / PhenomNN
  Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks
  ☆23Updated 2 years ago
• bdi-lab / InGram
  InGram: Inductive Knowledge Graph Embedding via Relation Graphs (ICML 2023)
  ☆65Updated 5 months ago
• mistyreed63849 / Graph-LLM
  GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
  ☆114Updated last year
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆233Updated last year
• YangLing0818 / VQGraph
  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  ☆103Updated last year