dragen1860 / GCN-TF2
Graph Convolution Network for TensorFlow 2 implementation.
☆51Updated 5 years ago
Related projects: ⓘ
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆118Updated 4 months ago
- Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop☆30Updated 4 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆103Updated last month
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 3 years ago
- TensorFlow 2.0 implementation of MNIST classification using Graph Convolutional Network☆18Updated 5 years ago
- A TensorFlow implementation of Graph Wavelet Neural Network☆64Updated 5 years ago
- PyTorch implementation of Graph Attention Networks☆19Updated 5 years ago
- Graph Convolutional Networks for Text Classification.☆45Updated 4 years ago
- GPF(Graph Processing Flow):利用图神经网络处理问题的一般化流程☆91Updated 5 years ago
- Vanilla Implementation of Graph Convolutional Networks☆16Updated 4 years ago
- 图卷积神经网络 Graph Convolutional Network with Keras☆157Updated last year
- A pytorch implemention of GCN-GAN for temporal link prediction.☆99Updated 5 years ago
- Dual Attention Graph Convolutional Network☆86Updated 3 years ago
- ☆136Updated 4 years ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 5 years ago
- ☆51Updated 5 years ago
- Collect papers about graph☆74Updated 4 years ago
- Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.☆143Updated 3 years ago
- Graph convolutional layers☆62Updated 2 years ago
- patchy-san implemented in Chainer☆49Updated 6 years ago
- PyG (a geometric extension library for PyTorch) implementation of several Graph Neural Networks (GNNs): GCN, GAT, GraphSAGE, etc.☆50Updated 5 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago
- Stochastic training of graph convolutional networks☆85Updated 2 years ago
- Graph Neural Networks Paper List of 2019 Conferences☆20Updated 5 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 6 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆85Updated 4 years ago
- ☆35Updated 4 years ago
- A tensorflow implementation of GCN-LPA☆97Updated 4 years ago
- Tutorial for Graph AutoEncoder implemented by TensorFlow 1.x and 2.x☆40Updated 3 years ago
- STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems☆106Updated 4 years ago