Abstract: Graph data, essential in fields like knowledge representation and social networks, often involves large networks with many nodes and edges. Transmitting these graphs can be highly ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Abstract: The multi-agent controllability is intrinsically affected by the network topology and the selection of leaders. A focus of exploring this problem is to uncover the relationship between the ...

Since it was unveiled in 2020, Google DeepMind’s game-changing AI tool has helped researchers all over the world to predict ...

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...