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BrainNetDiff
BrainNetDiff: Generative AI Empowers Brain Network Generation via Multimodal Diffusion Model -
UniSG: Unifying Entity-Component-Systems, 3D & Learning Scenegraphs with GNNs...
UniSG: A unified entity-component-system in a scenegraph architecture, designed to address the demands of scientific, visual, and neural computing applications. -
UniSG^GA: A 3D scenegraph powered by Geometric Algebra
UniSG^GA: A novel integrated scenegraph structure that incorporates behavior and geometry data on a 3D scene, designed to seamlessly integrate Graph Neural Networks (GNNs) and... -
PANGeA: Procedural Artificial Narrative using Generative AI for Turn-Based, R...
PANGeA: Procedural Artificial Narrative using Generative AI for Turn-Based, Role-Playing Video Games -
Battery Cell Layout Optimization Dataset
The dataset used for training a Generative AI method that employs a cooling-guided diffusion model to optimize the layout of battery cells. -
Generative AI for Semantic Communications
The dataset used in the paper is a Generative AI for Semantic Communications dataset, which includes various GAI technologies and their applications in semantic communication. -
Generative Mobile Edge Networks
The dataset used in the paper is a generative mobile edge networks dataset, which includes various GAI technologies and their applications in mobile edge networks.