LeviBorodenko / dgcnn
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
☆24Updated 4 years ago
Alternatives and similar repositories for dgcnn:
Users that are interested in dgcnn are comparing it to the libraries listed below
- Graph Neural Network☆19Updated 3 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆45Updated last year
- code for the paper in NeurIPS 2019☆40Updated last year
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆47Updated last week
- Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…☆44Updated 11 months ago
- Vanilla Implementation of Graph Convolutional Networks☆16Updated 4 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆25Updated last year
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆66Updated last year
- ☆39Updated last year
- This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper☆26Updated 7 years ago
- Graph Attention Networks in Tensorflow 2.0☆13Updated 5 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆131Updated 4 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆60Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- ☆18Updated 3 years ago
- A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"☆62Updated last year
- Anomaly detection in time-series networks. Spatio-temporal Anomaly Detection☆12Updated 4 years ago
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆41Updated 3 years ago
- Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)☆20Updated 2 years ago
- Python code for reproducing the results of Understanding Regularized Spectral Clustering via Graph Conductance☆14Updated 5 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆88Updated 4 years ago
- An encoder-decoder framework for learning from incomplete data☆45Updated last year
- A simple Graph Net in PyTorch☆24Updated 4 years ago
- ☆44Updated 3 weeks ago
- A curated list of awesome graph representation learning.☆68Updated 4 years ago
- Discovering directional relations via minimum predictive information regularization☆23Updated 4 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆114Updated 4 years ago
- Graph Neural Networks for Community Detection☆61Updated 4 years ago