Knowledge Graph Attention Network (KGAT) is a new recommendation framework tailored to knowledge-aware personalized recommendation. Built upon the graph neural network framework, KGAT explicitly ...

Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

Some aspects of fractional calculus of zeta functions along with application of Shannon entropy has been discussed in [8]. The dimer problem and Huckel’s theory are two examples of usage of graph ...

In this paper, a new design procedure has been proposed for realization of logarithmic function via three phases: 1) differentiation; 2) division; and 3) integration for any arbitrary analog signal.

Welcome back to college football in 2025. If you can believe it, I’ve been writing this graphing column for coming into my 10th year now. Scream emoji. Old man emoji. Some of you will also remember ...

NIGHT OWLFor centuries, cities have been designed with clear goals in mind: maximize productivity, fortify defense, facilitate trade, ...

The all-new Coros Nomad watch has a built-in microphone for recording rugged off-grid adventures, but the price is the real ...

Discover how a CIAM platform centralizes customer identities, eliminates data silos, and powers secure, personalized ...

In the months since assuming the office of U.S. attorney general, Pam Bondi has made it clear she is not our chief lawyer but serves the whims of President Donald ...

Hands-on experience is the most direct way to get better at programming. Watching videos or reading tutorials only gets you ...

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