ytchx1999 / PyG-GNN-Test
使用PyTorch Geometric对GNN典型模型的各阶段执行时间进行测试和分析
☆9Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for PyG-GNN-Test
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆47Updated last year
- ☆136Updated last year
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆62Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆50Updated last year
- an implementation of FastGCN with pytorch☆48Updated 4 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆59Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆113Updated 8 months ago
- Schedule for learning on graphs seminar☆111Updated last year
- ☆21Updated 2 years ago
- The dgl implementation of GraphSaint☆13Updated 3 years ago
- ☆54Updated 3 years ago
- The implementation for DropMessage.☆23Updated last year
- A pytorch implementation of graph transformer for node classification☆29Updated last year
- [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning☆33Updated 2 years ago
- ☆28Updated 3 years ago
- ☆99Updated last year
- ☆27Updated 3 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆92Updated last year
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆74Updated 3 years ago
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 5 months ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 5 months ago
- ☆50Updated 2 years ago
- The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023…☆42Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆52Updated 10 months ago
- Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effe…☆21Updated 4 months ago
- ☆30Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆36Updated last year
- A curated list of papers on graph structure learning (GSL).☆39Updated 4 months ago
- Tail-GNN: Tail-Node Graph Neural Networks☆33Updated 3 years ago