bzhai / Ubi-SleepNet

#计算机科学#A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

多标签文本分类，多标签分类，文本分类, multi-label, classifier, text classification, BERT, seq2seq，attention, multi-label-classification

The implementation of DeBERTa

#自然语言处理#General technology for enabling AI capabilities w/ LLMs and MLLMs

Currently working on analysis of EEG (Electroencephalography) signals on the emotion recognition and sleep stage classification problems. This package/file is a summary/gathering of the most frequentl...

Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

This is the repository for Fake News Detection with HetGNN

[IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"

Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

code of HetGNN