Alternatives and similar repositories for Adaptive-Graph-Convolutional-Network

Users that are interested in Adaptive-Graph-Convolutional-Network are comparing it to the libraries listed below

• alge24 / eigenpooling
  An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
  ☆49Updated 5 years ago
• cszhangzhen / MVPool
  Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
  ☆23Updated 2 years ago
• yanghu819 / Graph-MLP
  ☆76Updated 3 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆115Updated 2 months ago
• abcbdf / ADC
  ☆25Updated last year
• Yangyeeee / SGAT
  ☆43Updated 4 years ago
• zhumeiqiBUPT / AM-GCN
  AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
  ☆243Updated 4 years ago
• bdy9527 / FAGCN
  ☆96Updated 4 years ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆139Updated 2 years ago
• Eilene / GraphHeat
  A TensorFlow implementation of GraphHeat
  ☆16Updated 5 years ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆88Updated 3 years ago
• jiangboahu / GLCN-tf
  Graph Learning Convolution Network
  ☆39Updated 2 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆38Updated last year
• murphyyhuang / gnn_hierarchical_pooling
  Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
  ☆80Updated 5 years ago
• hengruizhang98 / CCA-SSG
  Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484
  ☆68Updated last year
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆103Updated 3 years ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆65Updated last year
• psp3dcg / GSAPool
  The Web Conference 2020: Structure-Feature based Graph Self-adaptive Pooling
  ☆28Updated 5 years ago
• davide-belli / graphsage-diffpool-classifier
  Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers
  ☆33Updated 6 years ago
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆22Updated 2 years ago
• datake / AdaGCN
  Official Implementation of AdaGCN (ICLR 2021)
  ☆61Updated 3 years ago
• theodoriss / gcn-demo
  Semi-Supervised classification with Graph Convolution Networks using Pytorch
  ☆49Updated 4 years ago
• JC-202 / CAGNN
  ☆16Updated last year
• yusonghust / MT-MVGCN
  source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"
  ☆19Updated 4 years ago
• Gkunnan97 / FastGCN_pytorch
  an implementation of FastGCN with pytorch
  ☆51Updated 4 years ago
• jennyzhang0215 / GaAN
  ☆53Updated 5 years ago
• sunilkmaurya / FSGNN
  ☆32Updated 2 years ago
• asFeng / kergnns
  ☆30Updated 3 years ago
• sseung0703 / GALA_TF2.0
  Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019
  ☆45Updated 5 years ago
• ZhihaoPENG-CityU / MM21---AGCN
  The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.
  ☆35Updated 9 months ago