Alternatives and similar repositories for CensNet:

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

• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆88Updated 2 years ago
• Yangyeeee / SGAT
  ☆42Updated 3 years ago
• jiangqn / GCN-GAN-pytorch
  A pytorch implemention of GCN-GAN for temporal link prediction.
  ☆103Updated 5 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆113Updated 2 years ago
• thunlp / AGE
  Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"
  ☆113Updated last year
• yanghaoxie / GCN-GAN-for-Weighted-Dynamic-Networks
  GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks
  ☆36Updated 5 years ago
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆47Updated last year
• jhljx / CTGCN
  CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…
  ☆96Updated last year
• asFeng / kergnns
  ☆30Updated 3 years ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆135Updated 2 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆37Updated 11 months ago
• ki-ljl / GNNs-for-Node-Classification
  Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…
  ☆134Updated last year
• bdy9527 / FAGCN
  ☆95Updated 4 years ago
• zhao-tong / GNNs-easy-to-use
  An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.
  ☆61Updated 4 years ago
• yuwvandy / G2GNN
  ☆45Updated last year
• taishan1994 / pytorch_HAN
  异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
  ☆108Updated 2 years ago
• Tiger101010 / DAEGC
  PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf
  ☆111Updated 4 years ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆169Updated 11 months ago
• jamesYu365 / EGAT
  a pytorch implementation of Exploiting Edge Features in Graph Neural Networks.
  ☆44Updated last year
• VGraphRNN / VGRNN
  Variational Graph Recurrent Neural Networks - PyTorch
  ☆116Updated 4 years ago
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆63Updated last year
• hazdzz / chebnet
  The PyTorch version of ChebNet.
  ☆35Updated 3 months ago
• raunakkmr / GraphSAGE-and-GAT-for-link-prediction
  GraphSAGE and GAT for link prediction.
  ☆89Updated 5 years ago
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆55Updated 10 months ago
• iMoonLab / DHGNN
  DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
  ☆246Updated 2 years ago
• alge24 / DyGNN
  ☆58Updated 4 years ago
• amin-salehi / GATE
  Graph Attention Auto-Encoders
  ☆75Updated 2 years ago
• ICT-GIMLab / SeHGNN
  ☆107Updated last year
• TianxiangZhao / GraphSmote
  Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021
  ☆159Updated last year
• qbxlvnf11 / graph-neural-networks-for-graph-classification
  Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
  ☆108Updated 4 years ago