nairouz / DynAELinks
☆30Updated 4 years ago
Alternatives and similar repositories for DynAE
Users that are interested in DynAE are comparing it to the libraries listed below
Sorting:
- Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019☆45Updated 6 years ago
- ☆146Updated 4 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆107Updated 4 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆137Updated 2 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆41Updated 6 years ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 6 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆51Updated 9 months ago
- ☆61Updated 3 years ago
- ☆100Updated 7 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 3 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆36Updated last year
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆135Updated 5 years ago
- WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering☆89Updated 2 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 5 years ago
- ☆31Updated 2 years ago
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆31Updated 2 years ago
- Code for reproducing results in GraphMix paper☆72Updated 3 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆91Updated 6 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 4 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆82Updated 4 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆49Updated last year
- ☆173Updated last year
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆277Updated 9 months ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆38Updated 3 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆67Updated 3 years ago
- ☆51Updated 4 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago