sooashuier

sooashuier's Stars

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.1k13753869

• thuml/Transfer-Learning-Library

  Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

  Language:Python3.4k48202558

• iCGY96/awesome_OpenSetRecognition_list

  A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

  1.1k379146

• emadeldeen24/AdaTime

  [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

  Language:Python1803820

• GestaltCogTeam/D2STGNN

  Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

  Language:Python1604816

• k-han/DTC

  "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)

  Language:Python1585515

• tntek/source-free-domain-adaptation

  Language:Python135255

• 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 Graph Attention Network), which will continue to be updated in the future.

  Language:Python1252221

• mims-harvard/Raincoat

  Domain Adaptation for Time Series Under Feature and Label Shifts

  Language:Jupyter Notebook10631211

• LEAP-WS/MDGCN

  Multiscale Dynamic Graph Convolutional Network for hyperspectral image classification

  Language:Python1025029

• quanweiliu/WFCG

  Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification

  Language:Python57126

• Jakobovski/decoupled-multimodal-learning

  A decoupled, generative, unsupervised, multimodal neural architecture.

  Language:Python45928

• guglielmocamporese/cvaecaposr

  Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.

  Language:Python42368

• anujinho/trident

  Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification

  Language:Python39265

• Anton-Cherepkov/gnn-mnist-classification

  Image classification using Graph Neural Networks (GNNs) with MNIST dataset

  Language:Python35228

• albertszg/DFAWnet

  code for DFAWnet

  Language:Python29133

• B-Xi/TNNLS_2022_X-GPN

  Semisupervised Cross-scale Graph Prototypical Network for Hyperspectral Image Classification, TNNLS, 2022.

  Language:Python25113

• LirongWu/GraphMixup

  Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"

  Language:Python22216

• graphprojects/CM-GCL

  Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”

  Language:Python19202

• ZZUTK/Decoupled-Learning-Conditional-GAN

  Decoupled Learning for Conditional Adversarial Networks

  Language:Python17104

• B-Xi/IGARSS_2021_SSGPN

  Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification, IGARSS, 2021.

  Language:Python16103

• aailabkaist/UADAL

  Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation (UADAL) [NeurIPS 2022]

  Language:Python10202

• MinhZou/SNGNN

  Official pytorch implementation of the paper: "Similarity-Navigated Graph Neural Networks for Node Classification"

  Language:Python8220

• FedGTL/FGTL

  Source code and appendix for paper "FGTL: Federated Graph Transfer Learning for Node Classification".

  Language:Python520

• DiMarzioBian/TextLevelGNN

  An unofficial PyTorch implementation for the TextLevelGNN [EMNLP'19] "Text Level Graph Neural Network for Text Classification"

  Language:Python4202

• DGNAS-PD/DGNAS-PD

  DGNAS-PD is an automatical decoupled graph neural network (DGNN) designing method

  Language:Python3

• cartelgouabou/End_to_end_decoupled_training_for_skin_lesion_classification

  Language:Python2

• r-gould/gcn

  Implementation of a Graph Convolutional Network in PyTorch from the paper 'Semi-Supervised Classification with Graph Convolutional Networks'

  Language:Python20

• ljm565/graph-classification-GCN

  Graph classifier GCN using pytorch-geometric library.

  Language:Python1

• What-I-Have-Read/GCN

  GCN implementation for paper: Semi-Supervised Classification with Graph Convolutional Networks

  Language:Python1200