FilippoMB / Variational-Graph-Auto-encoders-Tensorflow-2-Spektral-
☆14Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Variational-Graph-Auto-encoders-Tensorflow-2-Spektral-
- Explore Graph Convolutional Networks☆17Updated last year
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆100Updated 4 years ago
- Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networ…☆264Updated 3 weeks ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆97Updated 3 years ago
- ☆137Updated 3 years ago
- This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆47Updated this week
- A Graph Neural Network project on HIV data☆261Updated 5 months ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆387Updated 3 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆128Updated 3 months ago
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆152Updated last year
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆131Updated 4 years ago
- GraphSAGE and GAT for link prediction.☆82Updated 5 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆267Updated last year
- Explanation method for Graph Neural Networks (GNNs)☆60Updated 2 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆113Updated last year
- Representation learning on dynamic graphs using self-attention networks☆281Updated last year
- A pytorch implemention of GCN-GAN for temporal link prediction.☆101Updated 5 years ago
- ☆67Updated 2 years ago
- 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
- ☆92Updated 2 years ago
- ☆39Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆341Updated 2 years ago
- ☆92Updated last year
- Variational Graph Recurrent Neural Networks - PyTorch☆114Updated 4 years ago
- Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning☆103Updated 2 years ago
- The official implementation of the SGCN architecture.☆61Updated 2 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆88Updated 4 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆190Updated 3 years ago
- Hierarchical Graph Pooling with Structure Learning☆327Updated 3 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆283Updated 2 years ago