Abstract: Graph representation is an important part of graph clustering. Recently, contrastive learning, which maximizes the mutual information between augmented graph views that share the same ...

This package facilitates the construction of chartpackets (single- or multi-page long pdfs of charts or tables). The code is built on top of matplotlib and imposes certain stylistic choices. See the ...

Abstract: This paper proposes a multimodal Graph Neural Network (GNN) model for predicting molecular properties. Our model combines molecular graph topology information from a baseline GNN with an ...

Network (knowledge) graphs represent a collection of interlinked entities organized into contexts via linking and semantic metadata. They build a framework for data integration and analysis. Having ...

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The words "statistics" and "data handling" might sound dry but it's an area of maths with an exciting range of skills at its core including investigating, gathering, presenting, and examining ...