rusty1s / embedded_gcnn
Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
☆78Updated 6 years ago
Alternatives and similar repositories for embedded_gcnn:
Users that are interested in embedded_gcnn are comparing it to the libraries listed below
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- ☆32Updated 7 years ago
- Implementation of Planar Graph Convolutional Networks in TensorFlow☆43Updated 8 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- Implementation of https://arxiv.org/abs/1703.00792.☆46Updated 7 years ago
- Dual Graph Convolution Networks☆95Updated 6 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆284Updated 4 years ago
- Metric Learning with Graph Convolutional Neural Networks☆206Updated 6 years ago
- Dual Attention Graph Convolutional Network☆88Updated 3 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆204Updated 3 years ago
- PyTorch implementation of spectral graph ConvNets, NeurIPS’16☆290Updated 7 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 6 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆134Updated 6 years ago
- Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…☆77Updated 5 years ago
- PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"☆60Updated 4 years ago
- Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation☆65Updated 6 years ago
- Collection of graph neural networks in pytorch☆50Updated 7 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆145Updated 7 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆333Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 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
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆122Updated 6 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆178Updated 6 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- Multi-Graph Convolutional Neural Networks☆255Updated 7 years ago
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆314Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated last year
- pytorch geometric version☆12Updated 5 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 7 months ago