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Huiyou Jiahua Applies for Logistics Demand Forecasting Patent Based on Spatio-Temporal Graph Convolutional Network Technology to Improve Prediction Accuracy

Spatio-Temporal Graph Convolutional Network Huiyou Jiahua's patent employs spatio-temporal graph convolutional network technology, marking a significant technological breakthrough in the field of ...

Researchers Propose a Novel Representation Learning Framework to Address the Lack of Causal Characterization in Deep Learning Models

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...
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Annotations-free survival prediction with WSIs using graph convolutional neural networks.

Treatment patterns of metastatic urothelial cancer in the United States. Prediction of immune checkpoint inhibitor (ICI) response in patients with urothelial cancer (UC) by a novel RNA-based ICI ...

Yixin Zhou Advances Industrial Intelligence with AI-Based Anomaly Detection Model

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...