Alternatives and similar repositories for AM-GCN

Users that are interested in AM-GCN are comparing it to the libraries listed below

• iMoonLab / DHGNN
  DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
  ☆265Updated 2 years ago
• aravindsankar28 / DySAT
  Representation learning on dynamic graphs using self-attention networks
  ☆297Updated 2 years ago
• jiangqn / GCN-GAN-pytorch
  A pytorch implemention of GCN-GAN for temporal link prediction.
  ☆105Updated 5 years ago
• chennnM / GCNII
  PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
  ☆354Updated 5 years ago
• bdy9527 / FAGCN
  ☆97Updated 4 years ago
• AndyJZhao / HGSL
  Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks
  ☆117Updated 3 years ago
• kavehhassani / mvgrl
  ☆269Updated 3 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆93Updated 3 years ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆329Updated last year
• theodoriss / gcn-demo
  Semi-Supervised classification with Graph Convolution Networks using Pytorch
  ☆50Updated 4 years ago
• malllabiisc / HyperGCN
  NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
  ☆204Updated 4 years ago
• jennyzhang0215 / GaAN
  ☆53Updated 5 years ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆175Updated last year
• dongkwan-kim / SuperGAT
  [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
  ☆159Updated 2 years ago
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆329Updated last year
• bingzhewei / geom-gcn
  ☆300Updated 3 years ago
• zhao-tong / GAug
  AAAI'21: Data Augmentation for Graph Neural Networks
  ☆193Updated last year
• DaehanKim / vgae_pytorch
  This repository implements variational graph auto encoder by Thomas Kipf.
  ☆413Updated 3 years ago
• jhljx / CTGCN
  CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…
  ☆95Updated 2 years ago
• pcy1302 / DMGI
  Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
  ☆149Updated 2 years ago
• gasteigerjo / gdc
  Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
  ☆273Updated 2 years ago
• jiangboahu / GLCN-tf
  Graph Learning Convolution Network
  ☆39Updated 2 years ago
• flyingdoog / PTDNet
  Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
  ☆81Updated 4 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
• 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
• kepsail / ie-HGCN
  Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021
  ☆104Updated 8 months ago
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆122Updated last year
• hugochan / IDGL
  Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…
  ☆231Updated 2 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆116Updated 4 months ago
• thunlp / AGE
  Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"
  ☆114Updated 2 years ago