Abstract: Temporal graph learning aims to generate high-quality representations for graph-based tasks ... Extensive experiments demonstrate that the proposed model S2T achieves at most 10.13% ...

Two weekends ago in Imola, Franco Colapinto was given the opportunity to replace Jack Doohan at Alpine. After showing flashes ...

Abstract: With the increasing popularity of graph-based learning, Graph Neural Networks (GNNs) win lots of attention from research and industry field because of their high accuracy. However, existing ...

Democrats in control of the Illinois General Assembly flexed their supermajorities to muscle through a $55.2 billion state ...

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Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Recent data from AccuRanker confirms what many in the industry have felt for months: ecommerce click-through rates (CTR) for ...

Three recent studies by data-engineering specialist Swaminathan Sethuraman map out an efficiency agenda for the next ...