The program implements a heuristic solution to detect protein complexes from large interaction networks. More simply stating the program detectes clusters (cliques) of variable density and size from ...

Using the mathematical formalism of evolutionary graph theory, recent studies have shown how to topologically build networks of population interaction that increase probabilities of fixation of ...

To extend the advantages of graph convolutions to context-aware recommender systems (CARSs), which represents a generic type of models that can handle various side information, a research team led by ...

Third, a unified one-stage visual dialog model with an end-to-end structure is developed to train the dynamic interaction module and the hybrid graph reasoning module in a collaborative manner.

The latest advance in recommendation shows that better user and item representations can be learned via performing graph convolutions on the user-item interaction graph. However, such finding is ...

As a pivotal branch of intelligent human-computer interaction, visual dialog is a technically challenging task that requires artificial intelligence (AI) agents to answer consecutive questions based ...