bknyaz / graph_attention_poolLinks
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
☆287Updated 5 years ago
Alternatives and similar repositories for graph_attention_pool
Users that are interested in graph_attention_pool are comparing it to the libraries listed below
Sorting:
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆337Updated 5 years ago
- Hierarchical Graph Pooling with Structure Learning☆344Updated 4 years ago
- Position-aware Graph Neural Networks☆401Updated 5 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆200Updated last year
- Official PyTorch Implementation of SAGPool - ICML 2019☆372Updated 2 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆274Updated 3 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆277Updated 10 months ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated 2 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- ☆302Updated 3 years ago
- Dual Graph Convolution Networks☆97Updated 7 years ago