Abstract: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...
The rapid progress of large language models (LLMs) has catalyzed the emergence of multimodal large language models (MLLMs) that unify visual understanding and image generation within a single ...
Abstract: This study focuses on the enhancement of loT networks with edge computing to process data in real-time as a solution to replace the current cloud models that would take time to manage large ...
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