dawnranger / pytorch-AGNN
Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
☆146Updated 7 years ago
Alternatives and similar repositories for pytorch-AGNN:
Users that are interested in pytorch-AGNN are comparing it to the libraries listed below
- Pytorch Implementation of Graph Convolutional Neural Networks☆111Updated 7 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 3 years ago
- Dual Graph Convolution Networks☆93Updated 6 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated 11 months ago
- A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)☆55Updated 3 years ago
- ☆53Updated 5 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 6 years ago
- ☆136Updated 4 years ago
- Dual Attention Graph Convolutional Network☆88Updated 3 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 4 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆122Updated 6 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 6 months ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- attention mechanism for graph classification, significant sub-graph mining, graph disstillation☆38Updated 4 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- tensorflow-as-gcn☆91Updated 5 years ago
- Pytorch Implementation for Graph Convolutional Neural Networks☆326Updated 6 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- ☆37Updated 6 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago
- Memory-Based Graph Networks☆102Updated 2 years ago
- Graph convolutional recurrent neural network☆179Updated 7 years ago
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆313Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Updated last year
- Sample Code for Graph Partition Neural Networks☆94Updated 6 years ago