muhanzhang / DGCNNLinks
Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".
☆178Updated 7 years ago
Alternatives and similar repositories for DGCNN
Users that are interested in DGCNN are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of DGCNN☆394Updated 2 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆187Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- Multi-Graph Convolutional Neural Networks☆256Updated 7 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- ☆152Updated 6 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆336Updated 5 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆134Updated 5 years ago
- ☆499Updated 4 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆73Updated 7 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆254Updated 6 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆101Updated 5 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆196Updated 4 years ago
- ☆302Updated 3 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆323Updated last year
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆211Updated 2 years ago
- Dual Graph Convolution Networks☆96Updated 6 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆286Updated 5 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆209Updated 5 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆50Updated 5 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆484Updated 6 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆356Updated 5 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆232Updated 2 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆189Updated 3 years ago
- ☆49Updated 6 years ago