Alternatives and similar repositories for spixel-gat

Users that are interested in spixel-gat are comparing it to the libraries listed below

• phcavelar / mnist-superpixel
  MWP for superpixel GNN classification
  ☆26Updated 5 years ago
• phcavelar / cifar-superpixel
  Superpixel for CIFAR dataset
  ☆11Updated 2 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆285Updated 4 years ago
• cszhangzhen / HGP-SL
  Hierarchical Graph Pooling with Structure Learning
  ☆343Updated 4 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆90Updated 4 years ago
• bknyaz / examples
  Some code examples
  ☆44Updated 5 years ago
• ReML-AI / MGTN
  Modular Graph Transformer Networks
  ☆22Updated 4 years ago
• bknyaz / bmvc_2019
  PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
  ☆60Updated 4 years ago
• VITA-Group / L2-GCN
  [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
  ☆31Updated 3 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆96Updated 6 years ago
• HongyangGao / Graph-U-Nets
  Pytorch implementation of Graph U-Nets (ICML19)
  ☆537Updated 4 years ago
• inyeoplee77 / SAGPool
  Official PyTorch Implementation of SAGPool - ICML 2019
  ☆369Updated last year
• bknyaz / graph_nn
  Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
  ☆334Updated 4 years ago
• dna1980drys / mnistGNN
  MNIST classification by using GCN
  ☆48Updated 5 years ago
• alge24 / eigenpooling
  An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
  ☆49Updated 5 years ago
• rusty1s / graph-based-image-classification
  Implementation of Planar Graph Convolutional Networks in TensorFlow
  ☆43Updated 8 years ago
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆122Updated last year
• malllabiisc / ASAP
  AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
  ☆101Updated 5 years ago
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆326Updated 7 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…
  ☆272Updated 5 months ago
• gmum / geo-gcn
  The official implementation of the SGCN architecture.
  ☆62Updated 3 years ago
• mafeimf / Attention-Graph-Convolution-Network-for-Image-Segmentation-in-Big-SAR-Imagery-Data
  the code of paper "Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data"
  ☆65Updated 4 years ago
• anonymous-sourcecode / GResNet
  Source code of GResNet
  ☆16Updated 4 years ago
• shekshaa / InceptionGCN
  Inception Graph Convolutional NN on medical and non-medical datasets
  ☆21Updated 5 years ago
• samleoqh / MSCG-Net
  Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation
  ☆72Updated 2 years ago
• Shen-Lab / SS-GCNs
  [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆110Updated 4 years ago
• liutongyang / GraphGAN-pytorch
  (Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55
  ☆46Updated 5 years ago
• leftthomas / DGCNN
  A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
  ☆64Updated 2 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
• rsinghlab / GNN-Tumor-Seg
  Using Graph Neural Networks to Segment MRIs of Brain Tumors
  ☆24Updated 3 years ago