LeviBorodenko / dgcnn
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
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆65Updated 2 years ago
- ☆39Updated 2 years ago
- Anomaly detection in time-series networks. Spatio-temporal Anomaly Detection☆12Updated 5 years ago
- Graph Neural Network☆19Updated 3 years ago
- Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.☆35Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 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
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆49Updated 2 weeks ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- Regression Graph Neural Network (regGNN) for cognitive score prediction.☆72Updated last year
- Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variation…☆8Updated 4 years ago
- Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning☆103Updated 2 years ago
- Python implementation of multilinear dynamical systems for tensor time series (NIPS'13)☆12Updated 3 years ago
- Graph Attention Networks in Tensorflow 2.0☆13Updated 5 years ago
- This is a collection of link prediction tutorials that I wrote. Some notebooks are accompanied by medium blogposts that you can find here…☆11Updated 4 years ago
- A TensorFlow implementation of Graph Wavelet Neural Network☆65Updated 6 years ago
- Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018☆26Updated 4 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆103Updated 5 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆116Updated 4 years ago
- Graph Imputation Neural Network☆78Updated 5 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆45Updated last year
- This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper☆26Updated 7 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆317Updated 5 years ago
- Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop☆31Updated 4 years ago
- Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…☆77Updated 5 years ago
- A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"☆64Updated last year
- Signal recovery and sampling over graphs☆14Updated 6 years ago
- A Tensorflow 2.0 implementation of Graph Isomorphism Networks.☆54Updated 5 years ago