This is a PyTorch implementation of the GraphCTA algorithm, which tries to address the domain adaptation problem without accessing the labelled source graph. It performs model adaptation and graph ...

A minimalistic and customizable graph card for Home Assistant Lovelace UI. The card works with entities from within the sensor & binary_sensor domain and displays the sensors current state as well as ...

This paper proposes a new Contrastive graph-based Recommendation framework with Domain-relevant augmentation and Tasl-oriented loss function (CRDT). Specifically, we propose a domain-related data ...

Next to each equation are three options; the first one, Analyze, gives you the characteristic properties of the expressions, like their maxima, minima, domain ... graphs for various kinds of ...

In the biomedical domain, entities represented in a knowledge graph can be, for example, molecules, biological functions and diseases or phenotypes. Relationships include molecular interactions ...

it is often possible to find a source graph on which the label function has similar frequency content to the target graph where the actual classification problem is defined. In this paper, we propose ...

A 40-mer or 15-mer peptide containing the angiogenic domain blocks AGGF1 function, however, a 15-mer peptide containing a single amino acid mutation from −RDD- to −RGD- (a classical RGD ...

Here we propose Pseudo2GO, a graph-based deep learning semi-supervised model for pseudogene function prediction. A sequence similarity graph is first ... can help build the relationship between ...