Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Molecular generation is crucial for advancing drug discovery, materials science, and ...

This is a re-implementation of the Graph Auto-encoder and Variational Graph Auto-encoder presented here. This implementation is based on Spektral, the Tensorflow-Keras library for Graph Neural ...

Large scale cancer genomics data provide crucial information about the disease and reveal points of intervention. However, systematic data have been collected in specific cell lines and their ...

Abstract: Graph embedding based methods have been used in recommendation systems recently, owing to their advances in modeling nodes as embeddings in a low-dimensional space. By effective neighborhood ...

MicroRNAs (miRNAs) have been proved to play critical roles in diverse biological processes, including the human disease development process. Exploring the potential associations between miRNAs and ...

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Manifold learning, rooted in the manifold assumption, reveals low-dimensional structures within input data, positing that the data exists on a low-dimensional manifold within a high-dimensional ...

Abstract: Graph embedding based methods have been used in recommendation systems recently, owing to their advances in modeling nodes as embeddings in a low-dimensional space. By effective neighborhood ...