Alternatives and similar repositories for Rel-LLM

Users that are interested in Rel-LLM are comparing it to the libraries listed below

• Zehong-Wang / GFT
  GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
  ☆59Updated 8 months ago
• snap-stanford / prodigy
  ☆100Updated 2 years ago
• CurryTang / Towards-graph-foundation-models
  ☆91Updated 2 years ago
• XiaoxinHe / icml2023_learning_on_graphs
  List of papers on ICML2023.
  ☆55Updated 2 years ago
• vermouthdky / SimTeG
  Official Repo of SimTeG
  ☆43Updated last year
• XiaoxinHe / iclr2024_learning_on_graphs
  List of papers on ICLR 2024
  ☆58Updated last year
• NineAbyss / GLBench
  The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…
  ☆72Updated last year
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆232Updated last year
• Data-Centric-GraphML / awesome-papers
  A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).
  ☆46Updated 2 years ago
• Graph-COM / LLM_BP
  [ICML 2025] Generalization Principles for Inference over Text-Attributed Graphs with Large Language
  ☆20Updated 6 months ago
• wjn1996 / InstructGraph
  A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf
  ☆80Updated last year
• PeterGriffinJin / Awesome-Multimodal-on-Graphs
  A curated list of papers and resources about multimodal learning on graphs.
  ☆42Updated 11 months ago
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆50Updated last year
• AndyJZhao / GLEM
  ☆133Updated 10 months ago
• Emory-Melody / awesome-graph-reduction
  [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
  ☆176Updated last week
• VITA-Group / LLaGA
  [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
  ☆147Updated last year
• AndyJZhao / GraphText
  ☆34Updated 2 years ago
• Zehong-Wang / Awesome-Foundation-Models-on-Graphs
  A collection of graph foundation models including papers, codes, and datasets.
  ☆160Updated 7 months ago
• zhao-tong / SDM2023_Graph_Data_Augmentation_Tutorial
  Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning
  ☆21Updated 2 years ago
• Arthur-Heng / NLGraph
  Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)
  ☆144Updated last year
• Juanhui28 / HeaRT
  ☆60Updated last year
• jma712 / GEAR
  ☆18Updated 3 years ago
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆65Updated 2 years ago
• AndrewZhou924 / Awesome-Graph-Prompting
  A curated list of resources for graph prompting methods
  ☆29Updated 2 years ago
• alibaba / graph-gpt
  Generative Pre-trained Graph Eulerian Transformer [ICML2025]
  ☆100Updated last month
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆212Updated last year
• XiaoxinHe / tape_arxiv_2023
  ☆39Updated 2 years ago
• PeterGriffinJin / Patton
  Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)
  ☆32Updated last year
• Amanda-Zheng / LEBED
  Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"
  ☆16Updated last year
• JiaruiFeng / TAGLAS
  An atlas of text-attributed graph datasets in the era of large graph and language model.
  ☆66Updated last year