Alternatives and similar repositories for MultiGPrompt

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

• LuckyTiger123 / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆25Updated 2 years ago
• Starlien95 / HGPrompt
  ☆19Updated last year
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆47Updated 10 months ago
• tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
  Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
  ☆37Updated last year
• zjunet / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆35Updated 2 years 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
• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆34Updated last year
• bigheiniu / GRENADE
  GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs
  ☆14Updated 9 months ago
• XYGaoG / Graph-Condensation-Papers
  Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.
  ☆46Updated 3 months ago
• MingChen-Sun / GPPT
  ☆60Updated 3 years ago
• WxxShirley / LLMNodeBed
  [ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"
  ☆62Updated 3 months ago
• Melinda315 / WalkLM
  ☆22Updated last year
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆105Updated last year
• NYUSHCS / GAugLLM
  Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)
  ☆26Updated last year
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆39Updated 11 months ago
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆85Updated last year
• Newiz430 / Pretext
  Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"
  ☆36Updated 5 months ago
• shuaiOKshuai / Tail-GNN
  Tail-GNN: Tail-Node Graph Neural Networks
  ☆35Updated 4 years ago
• liun-online / SpCo
  The source code of SpCo
  ☆35Updated 2 years ago
• W-rudder / TEA-GLM
  ☆48Updated 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…
  ☆67Updated 11 months ago
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆53Updated 2 years ago
• WenZhihao666 / G2P2
  Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
  ☆34Updated 9 months ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆45Updated 3 years ago
• BUPT-GAMMA / Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning
  Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"
  ☆29Updated 3 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆56Updated last year
• zjunet / GraphAdapter
  ☆26Updated last year
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆151Updated 7 months ago
• ivam-he / PSHGCN
  PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."
  ☆19Updated 9 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 last year