IEEE

MiniGCN: Mini-Batch Graph Convolutional Networks for Hyperspectral Image Classification

Abstract: The problem in the classification of hyperspectral images has been tough since the spectral dimension is high, the number of labeled sample data is low, and there are computing limitations.
GitHub

The collection of pre-trained, state-of-the-art AI models.

va-cnn View Adaptive Neural Networks (VA) for Skeleton-based Human Action Recognition Pytorch 1.2.7 and later Mar 2017 patchcore PatchCore_anomaly_detection Pytorch 1.2.6 and later Jun 2021 glass A ...
IEEE

Polarity-Aware and Adaptive Sparse Aggregation for Implicit Heterophilic Graph Classification

Abstract: Graph-structured data appears in domains such as molecular analysis, social networks, and program optimization, where graphs often exhibit implicit heterogeneity, as nodes may look ...