It’s often assumed that Dijkstra’s algorithm, or the A* graph traversal algorithm is used, but the reality is that although these pure graph theory algorithms are decidedly influential, they ...

Attribute graph embedding algorithms based on graph neural networks aggregate information about the neighborhood of a target node to update the embedding of the target node, i.e. neighborhood ...

Graph representation learning has the property of causal inference of relation, and integrates graph structure with recommendation system, which effectively reduces the number of iterations required ...

A new algorithm efficiently solves the graph isomorphism problem, computer scientist László Babai announced November 10 at a Combinatorics and Theoretical Computer Science seminar at the ...

In their 2019 paper Holm and Rotenberg found that some drawings provide a more advantageous starting position for inserting an edge than others. These “good” drawings are only a few flips away from ...

Science China Information Sciences (2021). [3] Distributed algorithms for the Lovász local lemma and graph coloring. Distributed Computing (2016). Back to "Distributed Systems and Algorithms" ...

In July/August 2019, two things changed with Google's Knowledge Graph API that may be a turning point both for Google and for us as digital marketers.