hertz-pj / GNNPapersLinks
Must-read papers on graph neural networks (GNN)
☆28Updated 6 years ago
Alternatives and similar repositories for GNNPapers
Users that are interested in GNNPapers are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of Capsule Graph Neural Network☆74Updated 4 years ago
- patchy-san implemented in Chainer☆48Updated 6 years ago
- ☆137Updated 4 years ago
- Dual Attention Graph Convolutional Network☆88Updated 3 years ago
- The official repo is https://github.com/dmlc/dgl . THIS IS A FORK.☆154Updated 2 years ago
- Pytorch Implementation of Graph Convolutional Neural Networks☆111Updated 7 years ago
- ☆53Updated 5 years ago
- A tutorial on Graph Convolutional Neural Networks☆318Updated 4 years ago
- Collect papers about graph☆76Updated 4 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆145Updated 7 years ago
- 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
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 6 years ago
- Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org☆630Updated 5 years ago
- A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) and Residual Gated Graph ConvNets (RGGC) for FYP☆72Updated 6 years ago
- Modify pyGAT (https://github.com/Diego999/pyGAT) to use PyTorch sparse operators for implementation of SpGraphAttentionLayer☆20Updated 6 years ago
- Densely Connected CNN with Multi-scale Feature Attention for Text Classification☆132Updated 6 years ago
- 注意力机制on自然语言处理文章整理笔记☆170Updated 6 years ago
- MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks☆38Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated last year
- The learning of the GraphNeuralNetwork☆155Updated 5 years ago
- Pytorch Implementation for Graph Convolutional Neural Networks☆326Updated 6 years ago
- ☆437Updated 6 years ago
- Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".☆80Updated 5 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- extract features by maximizing mutual information☆148Updated 5 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆524Updated 4 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆104Updated 10 months 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
- 人工智能论文关键点集结。This project aims to collect key points of AI papers.☆103Updated 3 years ago