BrizziB / Graph-Classification-with-GCNLinks
A simple implementation of a portion of GCN (Kipf & Welling) that can handle graph classification.
☆40Updated 6 years ago
Alternatives and similar repositories for Graph-Classification-with-GCN
Users that are interested in Graph-Classification-with-GCN are comparing it to the libraries listed below
Sorting:
- 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
- Graph Classification with Graph Convolutional Networks in PyTorch [NeurIPS 2018 Workshop]☆337Updated 5 years ago
- ☆73Updated 3 years ago
- ☆152Updated 6 years ago
- A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"☆65Updated 2 years ago
- Representation learning on dynamic graphs using self-attention networks☆308Updated 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
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆125Updated last year
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆252Updated 5 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆316Updated 6 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆372Updated 2 years ago
- ☆504Updated 5 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆73Updated 7 years ago
- A collection of graph classification methods☆42Updated 5 years ago
- PyTorch implementation of DGCNN☆396Updated 2 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆104Updated 6 years ago
- Graph Auto-Encoder in PyTorch☆443Updated last year
- Hierarchical Graph Pooling with Structure Learning☆344Updated 4 years ago
- ☆302Updated 3 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆50Updated 6 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆493Updated 5 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆214Updated 5 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆237Updated 2 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆609Updated 4 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆102Updated 5 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆296Updated 3 years ago
- ☆356Updated 5 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆115Updated 2 years ago