Alternatives and similar repositories for GRENADE

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

• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆47Updated 10 months ago
• 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
• Nashchou / MultiGPrompt
  ☆24Updated last year
• Melinda315 / WalkLM
  ☆23Updated last year
• LuckyTiger123 / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆25Updated 2 years ago
• zjunet / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆35Updated 2 years ago
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆105Updated last year
• tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
  Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
  ☆37Updated 2 years ago
• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆34Updated last year
• tengxiao1 / GraphACL
  GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
  ☆33Updated last year
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆87Updated last year
• MingChen-Sun / GPPT
  ☆60Updated 3 years ago
• lsh0520 / RGCL
  Ratioanle-aware Graph Contrastive Learning codebase
  ☆44Updated 2 years ago
• NineAbyss / GLBench
  The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…
  ☆67Updated last year
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆45Updated 3 years ago
• yixinliu233 / G-OOD-D
  [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
  ☆44Updated 2 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆56Updated last year
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆41Updated last year
• caoyxuan / W2PGNN
  code for kdd feasibiiity
  ☆12Updated 2 years ago
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• zyzisastudyreallyhardguy / GOAL-Graph-Complementary-Learning
  The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…
  ☆15Updated 2 years ago
• WenZhihao666 / G2P2
  Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
  ☆35Updated 10 months ago
• zjunet / GraphAdapter
  ☆26Updated last year
• AndyJZhao / GLEM
  ☆130Updated 7 months ago
• yongduosui / AIA
  [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…
  ☆17Updated 2 years ago
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆53Updated 2 years ago
• yuwvandy / FairVGNN
  ☆27Updated 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
• wondergo2017 / DIDA
  Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
  ☆25Updated 2 years ago
• AndrewZhou924 / graph-ood-detection
  A curated list of resources for OOD detection with graph data.
  ☆19Updated last year