Alternatives and similar repositories for GraphText

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

• wjn1996 / InstructGraph
  A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf
  ☆79Updated last year
• Zehong-Wang / GFT
  GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
  ☆52Updated 5 months ago
• CGCL-codes / GraphInstruct
  The benchmark proposed in paper: GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
  ☆21Updated 3 months ago
• snap-stanford / prodigy
  ☆102Updated 2 years ago
• vermouthdky / SimTeG
  Official Repo of SimTeG
  ☆43Updated last year
• DeepGraphLearning / InductiveQE
  Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)
  ☆46Updated 3 years ago
• DeepGraphLearning / AStarNet
  Official implementation of A* Networks
  ☆149Updated 2 years ago
• XiaoxinHe / tape_arxiv_2023
  ☆39Updated 2 years ago
• RManLuo / ChatRule
  Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning with 1 dollar.
  ☆69Updated last year
• mistyreed63849 / Graph-LLM
  GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
  ☆115Updated last year
• DeepGraphLearning / GNN-QE
  Official implementation of Graph Neural Network Query Executor (ICML 2022)
  ☆89Updated 2 years ago
• VITA-Group / LLaGA
  [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
  ☆136Updated last year
• KiddoZhu / NBFNet-PyG
  PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆75Updated 3 years ago
• Arthur-Heng / NLGraph
  Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)
  ☆138Updated last year
• pnnl / SLiCE
  Subgraph Based Learning of Contextual Embedding
  ☆29Updated 4 years ago
• AndyJZhao / GLEM
  ☆130Updated 7 months ago
• Graph-COM / GraphMaker
  [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
  ☆64Updated 6 months ago
• wwbrannon / congrat
  Code for the paper "ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings" -- TextGraphs-17 @ ACL 2024
  ☆23Updated last week
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆87Updated last year
• DeepGraphLearning / GraphAny
  GraphAny: Fully-inductive Node Classification on Arbitrary Graphs
  ☆148Updated 9 months ago
• snap-stanford / csr
  ☆35Updated 2 years ago
• alibaba / GraphTranslator
  GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks
  ☆112Updated last year
• bdi-lab / InGram
  InGram: Inductive Knowledge Graph Embedding via Relation Graphs (ICML 2023)
  ☆66Updated 5 months ago
• PeterGriffinJin / Patton
  Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)
  ☆31Updated 9 months ago
• reddy-lab / GraphZoo
  Facilitating learning, using, and designing graph processing pipelines/models systematically.
  ☆27Updated 3 years ago
• PeterGriffinJin / Awesome-Multimodal-on-Graphs
  A curated list of papers and resources about multimodal learning on graphs.
  ☆37Updated 8 months ago
• CurryTang / Graph-LLM
  Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
  ☆307Updated 8 months ago
• yuwvandy / Large-Graph-Generative-Model
  ☆29Updated last year
• PeterGriffinJin / Edgeformers
  Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks (ICLR 2023)
  ☆69Updated 2 years ago
• zjukg / KGTransformer
  [Paper][WWW2023] Structure Pre-training and Prompt Tuning for Knowledge Graph Transfer
  ☆50Updated 2 years ago