Lucius-lsr / AdapterGNNLinks
☆29Updated last year
Alternatives and similar repositories for AdapterGNN
Users that are interested in AdapterGNN are comparing it to the libraries listed below
Sorting:
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆203Updated 8 months ago
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- Accompanied repositories for our paper Graph foundation model☆217Updated 10 months ago
- ☆19Updated last year
- A curated list of papers on graph transfer learning (GTL).☆17Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆45Updated 9 months ago
- ☆57Updated 11 months ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆35Updated 4 months ago
- ☆20Updated last year
- code for kdd feasibiiity☆12Updated 2 years ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- List of papers on ICLR 2024☆58Updated last year
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆165Updated 2 years ago
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆59Updated last month
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆23Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆34Updated last year
- Papers about out-of-distribution generalization on graphs.☆167Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆130Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆33Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆228Updated last year
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆202Updated 7 months ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆98Updated 10 months ago
- Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models☆10Updated 2 weeks ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆24Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated last year
- A collection of graph foundation models including papers, codes, and datasets.☆106Updated 2 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆53Updated 6 months ago