Signals are converging and leading me to believe that 2025 is the Year of the Knowledge Graph. But before we get carried away ...

Learn how GraphRAG transforms unstructured text into structured data, revolutionizing AI retrieval with deeper insights and ...

In this paper we propose a graph representation learning technique on weighted and dynamic graphs to predict the network capacity, that is the weights of connections/links between viewers/nodes. We ...

We leverage a heterogeneous graph representation to model the inter-robot communication and the assignment relations between goals and robots. We compare in simulation its performance to other ...