Alternatives and similar repositories for congrat

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

• AndyJZhao / GLEM
  ☆131Updated 8 months ago
• vermouthdky / SimTeG
  Official Repo of SimTeG
  ☆43Updated last year
• yf-he / UniGraph
  UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs (KDD'25)
  ☆22Updated 6 months ago
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆106Updated last year
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆87Updated 2 years ago
• CurryTang / Graph-LLM
  Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
  ☆310Updated 8 months ago
• franciscoliu / graphprompter
  Implementation of GraphPrompter (The Web Conference 2024 Short Paper)
  ☆35Updated last year
• PeterGriffinJin / Patton
  Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)
  ☆31Updated 9 months ago
• kepsail / SHGP
  NeurIPS 2022 - SHGP
  ☆32Updated 2 years ago
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆47Updated 11 months ago
• Zehong-Wang / GFT
  GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
  ☆55Updated 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
  ☆79Updated last year
• WenZhihao666 / G2P2
  Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
  ☆35Updated 10 months ago
• TRAIS-Lab / LLM-Structured-Data
  ☆28Updated 2 years ago
• Hope-Rita / THLM
  Codes for Pretraining Language Models with Text-Attributed Heterogeneous Graphs
  ☆16Updated 2 years ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆239Updated last year
• W-rudder / TEA-GLM
  ☆54Updated last year
• amazon-science / GNP
  Code for AAAI'24 paper "Graph Neural Prompting with Large Language Models".
  ☆33Updated 7 months ago
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆45Updated last year
• cshhzhao / GCOPE
  Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…
  ☆42Updated last year
• VITA-Group / LLaGA
  [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
  ☆141Updated last year
• MingChen-Sun / GPPT
  ☆61Updated 3 years ago
• kaize0409 / S-3-CL
  PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)
  ☆25Updated 9 months ago
• SitaoLuan / LLM4Graph
  ☆186Updated last year
• XiaoxinHe / TAPE
  Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…
  ☆254Updated 7 months ago
• JiaruiFeng / TAGLAS
  An atlas of text-attributed graph datasets in the era of large graph and language model.
  ☆64Updated 11 months ago
• Starlien95 / GraphPrompt
  GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
  ☆162Updated last year
• zjunet / GraphAdapter
  ☆26Updated last year
• bigheiniu / GRENADE
  GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs
  ☆15Updated 10 months ago
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆81Updated 3 years ago