VGAResNet: A Unified Visibility Graph Adjacency Matrix-Based Residual Network for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds - rsarka34/VGAResNet ...

To maximize the homogeneity of these two distinct graphs, we design an improved semi-supervised contrastive loss. In order to enrich scarce label information, we propose a self-supervised mechanism to ...

Semi-supervised node classification with Graph Convolutional Network (GCN) is an attractive topic in social media analysis and applications. Recent studies show that GCN-based classification methods ...

There are three steps you can take to get in the Knowledge Graph (and trigger a knowledge panel for your brand) without a Wikipedia article. Your site is the source of information about you .

Theorem 2. [1] If G is a simple graph with adjacency matrix A, then the number of 4-cycles in G is, where q is the number of edges in G. (It is obvious that the above formula is also equal to) Theorem ...