YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks Star 216 Code Issues Pull requests A curated list of papers on pre-training for graph neural networks (Pre-train4GNN). graph graph-algorithms fine-tuning graph-neural-networks pre-training pre-trained-model graph-pretraining Updated Dec 31, 2024
HKUDS / GraphPro Star 72 Code Issues Pull requests [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation" collaborative-filtering recommendation graph-neural-networks prompt-learning graph-pretraining Updated Jun 10, 2024 Python
lsh0520 / RGCL Star 43 Code Issues Pull requests Ratioanle-aware Graph Contrastive Learning codebase interpretability generalization explainability graph-contrastive-learning invariant-learning icml2022 graph-pretraining invariant-rationale-discovery Updated Jun 15, 2023 Python
Newiz430 / Pretext Star 40 Code Issues Pull requests Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective" graph fine-tuning self-supervised-learning graph-structure graph-neural-network graph-topology graph-pretraining large-language-model graph-foundation-model graph-prompting Updated May 7, 2025
HySonLab / WaveletPE Star 2 Code Issues Pull requests Range-aware Graph Positional Encoding via High-order Pretraining: Theory and Practice high-order wavelet-transform graph-wavelets graph-neural-networks graph-representation-learning graph-auto-encoder multiresolution-analysis graph-pretraining Updated Nov 12, 2025 Python