The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...

GraphPro is a versatile and pluggable OO python library designed for leveraging deep graph learning representations to gain insights into structural proteins and ...

Disclaimer: AlphaGalileo is not responsible for the accuracy of news releases posted to AlphaGalileo by contributing ...

This repo contains an example implementation of the Simple Graph Convolution (SGC) model, described in the ICML2019 paper Simplifying Graph Convolutional Networks. SGC removes the nonlinearities and ...

To address these issues, a Meta-learning enhanced physics-informed graph attention convolutional network (Meta-PIGACN) model is proposed to handle topological variability in distribution system state ...

The proposed Covariance-based Graph Convolutional Network (CovGCN) model outperforms many machine learning models in recognising sEMG-based hand gestures and mitigating the impact of variable limb ...

Convolutional neural networks (CNNs), which automatically learn features from raw data to approximate functions, are being increasingly applied to the end-to-end analysis of electroencephalographic ...

How big of a problem is it worldwide? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature.

In 2031, it will range between $1.68 and $1.82, with an average price of $1.75. The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime ...

当我们谈论自闭症谱系障碍（ASD）时，总会涌现出许多情感：关心、愤怒、困惑，以及希望。最近，上海全景医学影像诊断中心有限公司的一项新专利申请引发了广泛关注。这个专利名为“基于多模式图卷积网络的自闭症谱系障碍识别方法”，其背后的科学理念和应用前景，无疑给这个领域带来了新的曙光。