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 ...
As AI projects move from the realm of technologists to the business environment, major organisations including Telstra and Fonterra share how they are tackling legacy data issues to prepare for agenti ...
Abstract: Graph neural network (GNN) models are increasingly being used for the classification of electroencephalography (EEG) data. However, GNN-based diagnosis of neurological disorders, such as ...
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