Alternatives and similar repositories for congrat

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

• vermouthdky / SimTeG
  Official Repo of SimTeG
  ☆43Updated last year
• AndyJZhao / GLEM
  ☆133Updated 9 months ago
• yf-he / UniGraph
  UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs (KDD'25)
  ☆23Updated 7 months ago
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆109Updated last year
• Zehong-Wang / GFT
  GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
  ☆57Updated 7 months ago
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆46Updated last year
• PeterGriffinJin / Patton
  Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)
  ☆31Updated 11 months ago
• TRAIS-Lab / LLM-Structured-Data
  ☆29Updated 2 years ago
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆48Updated last year
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆91Updated 2 years ago
• kepsail / SHGP
  NeurIPS 2022 - SHGP
  ☆32Updated 2 years ago
• VITA-Group / LLaGA
  [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
  ☆148Updated 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…
  ☆45Updated last year
• franciscoliu / graphprompter
  Implementation of GraphPrompter (The Web Conference 2024 Short Paper)
  ☆35Updated last year
• LechengKong / gdgnn
  ☆18Updated 2 years ago
• CurryTang / Graph-LLM
  Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
  ☆315Updated 10 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
• bigheiniu / GRENADE
  GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs
  ☆15Updated last year
• Hope-Rita / THLM
  Codes for Pretraining Language Models with Text-Attributed Heterogeneous Graphs
  ☆16Updated 2 years ago
• SitaoLuan / LLM4Graph
  ☆186Updated last year
• Louise-LuLin / GCL-SPAN
  Code for the paper "Spectrum Guided Topology Augmentation for Graph Contrastive Learning"
  ☆11Updated 2 years ago
• snap-stanford / prodigy
  ☆101Updated 2 years ago
• WenZhihao666 / G2P2
  Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
  ☆35Updated 11 months ago
• NineAbyss / GLBench
  The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…
  ☆69Updated last year
• XiaoxinHe / TAPE
  Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…
  ☆258Updated 9 months ago
• JiaruiFeng / GOFA
  A generative one-for-all model for joint graph language modeling
  ☆46Updated 6 months ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆46Updated 3 years ago
• kaize0409 / S-3-CL
  PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)
  ☆25Updated 11 months ago
• jumxglhf / GraphPatcher
  Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
  ☆18Updated 2 years ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆241Updated last year