Integrated Knowledge Solutions

Graph embedding refers to learning low-dimensional representations of nodes in a network; the representation encodes structural information ...

Canonical Correlation Analysis (CCA) is a powerful statistical technique. In machine learning and multimedia information retrieval, CCA play...

Graph neural networks (GNNs) are deep learning networks that operate on graph data. These networks are increasingly getting popular as numer...