hertz-pj / GNNPapers
Must-read papers on graph neural networks (GNN)
☆28Updated 5 years ago
Alternatives and similar repositories for GNNPapers:
Users that are interested in GNNPapers are comparing it to the libraries listed below
- patchy-san implemented in Chainer☆48Updated 6 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Neural Networks☆111Updated 7 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 5 years ago
- ☆136Updated 4 years ago
- Dual Attention Graph Convolutional Network☆88Updated 3 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆120Updated 8 months ago
- ☆53Updated 5 years ago
- Collect papers about graph☆75Updated 4 years ago
- The learning of the GraphNeuralNetwork☆154Updated 5 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Updated 7 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- The official repo is https://github.com/dmlc/dgl . THIS IS A FORK.☆154Updated last year
- GPF(Graph Processing Flow):利用图神经网络处理问题的一般化流程☆91Updated 6 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆139Updated 6 years ago
- The most complete list of AI top meetings☆87Updated 5 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆521Updated 3 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆127Updated 6 years ago
- Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org☆631Updated 4 years ago
- Spatio-temporal modeling 论文列表(主要是graph convolution相关)☆525Updated 5 years ago
- Dual Graph Convolution Networks☆93Updated 6 years ago
- Metric Learning with Graph Convolutional Neural Networks☆204Updated 6 years ago
- Modify pyGAT (https://github.com/Diego999/pyGAT) to use PyTorch sparse operators for implementation of SpGraphAttentionLayer☆20Updated 6 years ago
- A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) and Residual Gated Graph ConvNets (RGGC) for FYP☆73Updated 5 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆202Updated 3 years ago
- Graph convolutional recurrent neural network☆179Updated 6 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- tensorflow-as-gcn☆92Updated 5 years ago