Lucius-lsr / AdapterGNNLinks
☆32Updated last year
Alternatives and similar repositories for AdapterGNN
Users that are interested in AdapterGNN are comparing it to the libraries listed below
Sorting:
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆23Updated 2 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆34Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆101Updated last year
- ☆15Updated 2 years ago
- Directional diffusion models☆43Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆57Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆44Updated 2 years ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆211Updated 11 months ago
- ☆220Updated 2 years ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆37Updated 7 months ago
- ☆57Updated 3 years ago
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆178Updated 2 years ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆47Updated 11 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Updated 2 years ago
- List of papers on ICLR 2024☆58Updated last year
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆65Updated 6 months ago
- ☆59Updated last year
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆45Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆202Updated 9 months ago
- ☆19Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.☆168Updated 2 years ago
- ☆91Updated 2 years ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆121Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆104Updated last year
- Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks☆17Updated last year
- A curated list of papers on graph transfer learning (GTL).☆18Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆132Updated last year
- Accompanied repositories for our paper Graph foundation model☆229Updated last year