melifluos / subgraph-sketchingLinks
code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
☆96Updated last year
Alternatives and similar repositories for subgraph-sketching
Users that are interested in subgraph-sketching are comparing it to the libraries listed below
Sorting:
- Code for our paper "Attending to Graph Transformers"☆91Updated last year
- ☆90Updated 2 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Updated 3 years ago
- Dynamic Graph Benchmark☆83Updated 2 years ago
- ☆48Updated last year
- ☆58Updated last year
- ☆129Updated 6 months ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆116Updated 3 years ago
- ☆19Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆130Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆120Updated 2 years ago
- ☆42Updated 2 years ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆129Updated 3 years ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆207Updated 9 months ago
- List of papers on ICLR 2024☆59Updated last year
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆202Updated 8 months ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆170Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆82Updated 2 years ago
- Parameterized Explainer for Graph Neural Network☆139Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆160Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆98Updated 11 months ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated 2 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆114Updated last year
- ☆75Updated 3 years ago
- ☆22Updated 2 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆103Updated 2 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Updated 3 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago