YuanchenBei / Awesome-Pretraining-for-Graph-Neural-NetworksLinks
A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
☆212Updated last year
Alternatives and similar repositories for Awesome-Pretraining-for-Graph-Neural-Networks
Users that are interested in Awesome-Pretraining-for-Graph-Neural-Networks are comparing it to the libraries listed below
Sorting:
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆242Updated last year
- Accompanied repositories for our paper Graph foundation model☆232Updated last year
- ☆186Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆136Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆121Updated 2 years ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆258Updated 9 months ago
- ☆63Updated 3 years ago
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆182Updated 2 years ago
- ☆91Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Updated last year
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆319Updated 10 months ago
- Papers about out-of-distribution generalization on graphs.☆168Updated 2 years ago
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆163Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆176Updated this week
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆50Updated last year
- ☆133Updated 10 months ago
- Benchmark☆113Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆58Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆88Updated last year
- List of papers on ICLR 2024☆58Updated last year
- A Survey of Learning from Graphs with Heterophily☆157Updated 11 months ago
- A list of recent papers about Link Prediction.☆122Updated 2 weeks ago
- Must-read papers on graph foundation models (GFMs)☆359Updated 5 months ago
- Papers about large graph models.☆287Updated last year
- ☆50Updated last year
- A collection of graph foundation models including papers, codes, and datasets.☆158Updated 6 months ago
- Schedule for learning on graphs seminar☆109Updated 2 years ago
- ☆60Updated last year
- ☆33Updated 2 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆104Updated last year