In this letter, we propose a visibility graph (VG)-based adjacency matrix representation of LS in conjunction with a residual deep neural network (ResNet) for accurate detection of COPD, namely, the ...

Implementation of various neural graph classification model (not node classification) Training and test of various Graph Neural Networks (GNNs) models using graph classification datasets Input graph: ...

Abstract: Undirected graphs are frequently used to model phenomena that deal with interacting objects, such as social networks, brain activity and communication ...

Link prediction using standard Non-negative Matrix Factorization (NMF) for graphs or adjacency matrices. 3 stars 0 forks Branches Tags Activity Star Notifications You must be signed in to change ...