Alternatives and similar repositories for SDCN

Users that are interested in SDCN are comparing it to the libraries listed below

• zhumeiqiBUPT / AM-GCN
  AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
  ☆252Updated 5 years ago
• Tiger101010 / DAEGC
  PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf
  ☆116Updated 4 years ago
• kavehhassani / mvgrl
  ☆275Updated 3 years ago
• chennnM / GCNII
  PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
  ☆357Updated 5 years ago
• zfjsail / gae-pytorch
  Graph Auto-Encoder in PyTorch
  ☆440Updated last year
• jiangqn / GCN-GAN-pytorch
  A pytorch implemention of GCN-GAN for temporal link prediction.
  ☆104Updated 6 years ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆338Updated last year
• thunlp / AGE
  Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"
  ☆115Updated 2 years ago
• ChandlerBang / Pro-GNN
  Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
  ☆300Updated 2 years ago
• DaehanKim / vgae_pytorch
  This repository implements variational graph auto encoder by Thomas Kipf.
  ☆420Updated 4 years ago
• FilippoMB / Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
  Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…
  ☆276Updated 8 months ago
• sunfanyunn / InfoGraph
  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …
  ☆324Updated last year
• THUDM / GRAND
  Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
  ☆211Updated 2 years ago
• amin-salehi / GATE
  Graph Attention Auto-Encoders
  ☆79Updated 2 years ago
• TrustAGI-Lab / ARGA
  This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …
  ☆187Updated 3 years ago
• zyx423 / Graph-Embeddding
  Reimplementation of Graph Embedding methods by Pytorch.
  ☆177Updated 3 years ago
• iMoonLab / DHGNN
  DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
  ☆276Updated 3 years ago
• muhanzhang / DGCNN
  Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".
  ☆178Updated 7 years ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆475Updated 3 years ago
• bingzhewei / geom-gcn
  ☆302Updated 3 years ago
• aravindsankar28 / DySAT
  Representation learning on dynamic graphs using self-attention networks
  ☆306Updated 2 years ago
• yunshengb / SimGNN
  ☆152Updated 6 years ago
• googlebaba / WWW2020-O2MAC
  WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering
  ☆89Updated 2 years ago
• karenlatong / AGC-master
  ☆50Updated 4 years ago
• murphyyhuang / gnn_hierarchical_pooling
  Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
  ☆83Updated 6 years ago
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆123Updated last year
• jiangboahu / GLCN-tf
  Graph Learning Convolution Network
  ☆39Updated 2 years ago
• bdy9527 / FAGCN
  ☆99Updated 4 years ago
• hugochan / IDGL
  Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…
  ☆233Updated 2 years ago
• zhao-tong / GAug
  AAAI'21: Data Augmentation for Graph Neural Networks
  ☆195Updated last year