A new model, Document Event Relationship Extraction based on Graph Convolutional Network with Enhanced Dependency Semantics (GCNEDS) is proposed. It captures long distance dependencies between ...

The recent past has seen an increasing interest in Heterogeneous Graph Neural Networks (HGNNs), since many real-world ... Specifically, HetTree builds a semantic tree data structure to capture the ...

All three proposed networks are multi-layer perceptron (MLP) with 2 hidden layers of 256 units. News organizations may use or redistribute this image, with proper attribution, as part of news ...

The PSCom is underpinned by shared probabilistic graphs that serve as a common knowledge ... and computation energy consumption of the network under latency, power, computation capacity, bandwidth, ...

Evidence suggests aging is associated with declines in specialization and efficiency of pre-defined cortical networks, potentially corresponding with cognitive changes. Building upon our previous ...