LeviBorodenko / dgcnnLinks
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
☆24Updated 6 years ago
Alternatives and similar repositories for dgcnn
Users that are interested in dgcnn are comparing it to the libraries listed below
Sorting:
- ☆39Updated 3 years ago
- A TensorFlow implementation of Graph Wavelet Neural Network☆64Updated 7 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆316Updated 6 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆135Updated 5 years ago
- Unsupervised Deep Learning for Temporal Multi-Omics☆26Updated 6 years ago
- PyTorch implementation of Graph Attention Networks☆21Updated 6 years ago
- Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.☆37Updated 5 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Graph Neural Network Tutorial☆196Updated 5 years ago
- Graph Imputation Neural Network☆79Updated 5 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆104Updated 6 years ago
- Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning☆103Updated 3 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆63Updated 3 years ago
- Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)☆21Updated 4 years ago
- 图卷积神经网络 Graph Convolutional Network with Keras☆165Updated 2 years ago
- Graph Attention Auto-Encoders☆80Updated 2 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆51Updated 10 months ago
- Graph Neural Networks for Community Detection☆66Updated 6 years ago
- A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)☆605Updated 2 years ago
- Tutorial for Graph AutoEncoder implemented by TensorFlow 1.x and 2.x☆42Updated 5 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆274Updated 3 years ago
- This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.039…☆124Updated 4 years ago
- Regression Graph Neural Network (regGNN) for cognitive score prediction.☆77Updated 2 years ago
- Graph convolutional layers☆62Updated 4 years ago
- ☆17Updated 4 years ago
- The code of Graph Attention Networks for Cora, Citeseer, Pubmed and PPI☆35Updated 6 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆29Updated 2 years ago
- Shortest Path prediction using Graph Convolutional Networks☆27Updated 8 years ago
- Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop☆31Updated 5 years ago
- Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018☆28Updated 5 years ago