bdy9527 / SDCNLinks
Structural Deep Clustering Network
☆281Updated 2 years ago
Alternatives and similar repositories for SDCN
Users that are interested in SDCN are comparing it to the libraries listed below
Sorting:
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆245Updated 4 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆115Updated 4 years ago
- ☆267Updated 3 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering☆87Updated 2 years ago
- Graph Attention Auto-Encoders☆78Updated 2 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆122Updated last year
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆299Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆353Updated 5 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆230Updated last year
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆149Updated 2 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆105Updated 5 years ago
- Reimplementation of Graph Embedding methods by Pytorch.☆174Updated 3 years ago
- Graph Learning Convolution Network☆39Updated 2 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆412Updated 3 years ago
- ☆51Updated 3 years ago
- Graph Auto-Encoder in PyTorch☆437Updated last year
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆271Updated 4 months ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆318Updated last year
- Semi-Supervised classification with Graph Convolution Networks using Pytorch☆49Updated 4 years ago
- Representation learning on dynamic graphs using self-attention networks☆296Updated 2 years ago
- Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".☆80Updated 5 years ago
- Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.☆145Updated 4 years ago
- ☆300Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆258Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆158Updated 2 years ago