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:
- ☆46Updated 9 months ago
- ☆54Updated 8 months ago
- ☆128Updated 2 months ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆122Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆116Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆87Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆194Updated 5 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆44Updated 5 months ago
- ☆88Updated last year
- Dynamic Graph Benchmark☆80Updated 2 years ago
- ☆76Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆125Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆42Updated last month
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆70Updated 2 weeks ago
- List of papers on ICLR 2024☆56Updated last year
- A curated list of papers on graph structure learning (GSL).☆50Updated 5 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆81Updated 6 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆116Updated last year
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆196Updated 3 months ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆97Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated 11 months ago
- ☆57Updated 3 years ago
- Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks☆16Updated 5 months ago
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆137Updated 4 months ago
- ☆19Updated 2 years ago