LeviBorodenko / dgcnnLinks
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
☆24Updated 5 years ago
Alternatives and similar repositories for dgcnn
Users that are interested in dgcnn are comparing it to the libraries listed below
Sorting:
- Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop☆31Updated 5 years ago
- ☆39Updated 2 years ago
- Code for my publication "Efficient Sensor Selection with Application to Time Varying Graphs", in the 7th IEEE International Workshop on C…☆8Updated 7 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Python implementation of multilinear dynamical systems for tensor time series (NIPS'13)☆12Updated 3 years ago
- Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.☆36Updated 4 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆104Updated 5 years ago
- Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018☆27Updated 4 years ago
- A curated list of awesome graph representation learning.☆69Updated 4 years ago
- Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning☆103Updated 2 years ago
- Signal recovery and sampling over graphs☆16Updated 6 years ago
- Graph Embedding via Frequent Subgraphs☆45Updated 5 years ago
- Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variation…☆8Updated 4 years ago
- Multi-variable LSTM recurrent neural networks for prediction and interpretation of multi-variable time series☆48Updated 3 years ago
- Graph Neural Networks for Community Detection☆63Updated 5 years ago
- Time-Series Event Prediction with Evolutionary State Graph, WSDM 2021☆90Updated 4 years ago
- The source code of kdd2019 project☆25Updated 4 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆65Updated 2 years ago
- Python module for computing Symbolic Mutual Information and symbolic Transfer of Entropy☆14Updated 6 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆27Updated last year
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆42Updated 3 years ago
- Anomaly detection in time-series networks. Spatio-temporal Anomaly Detection☆12Updated 5 years ago
- A TensorFlow implementation of Graph Wavelet Neural Network☆66Updated 6 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated last year
- Signal Processing on non-euclidien domain signals☆29Updated 6 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆116Updated 4 years ago
- This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper☆26Updated 7 years ago
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)☆58Updated 2 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆49Updated 2 months ago