This paper proposes a fault diagnosis algorithm based on ambient signals and graph convolutional networks (GCN), approaching from two perspectives, broadening the input information sources and ...

Unfortunately, similar to PointNet, Mo-Net cannot capture the local structures. To address this issue, we propose a graph geometric moments convolution neural network (GGM-Net), which learns local ...

Motivated by these challenges, we propose an innovative prediction algorithm named dual-channel graph and Hypergraph Convolutional Network (DCGHCN) to discover microbes underlying disease traits.

Get latest NAV, Returns, SIP Returns, Performance, Ranks, Dividends, Portfolio, CRISIL Rank, Expert Recommendations, and Comparison with gold, stock,ULIP etc ...

IGN allotropes exhibit nonmonotonic bulk and linear compressibilities before their structures irreversibly transform into new configurations under large hydrostatic compression. The maximum bulk ...

Add a description, image, and links to the graph-clustering-algorithm topic page so that developers can more easily learn about it.

Add a description, image, and links to the convolution-algorithms topic page so that developers can more easily learn about it.