AIMC Topic: Computer Graphics

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Adaptive multi-graph contrastive learning for bundle recommendation.

Neural networks : the official journal of the International Neural Network Society Oct 24, 2024
Recently, recommending bundles - sets of items that complement each other - instead of individual items to users has drawn much attention in both academia and industry. Models based on Graph Neural Networks (GNNs) for bundle recommendation have achie...
Algorithms Patient Care Bundles Computer Graphics Neural Networks, Computer Machine Learning Humans
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Graph Curvature Flow-Based Masked Attention.

Journal of chemical information and modeling Oct 23, 2024
Graph neural networks (GNNs) have revolutionized drug discovery in chemistry and biology, enhancing efficiency and reducing resource demands. However, classical GNNs often struggle to capture long-range dependencies due to challenges like oversmoothi...
Neural Networks, Computer Drug Discovery Computer Graphics
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An end-to-end bi-objective approach to deep graph partitioning.

Neural networks : the official journal of the International Neural Network Society Oct 21, 2024
Graphs are ubiquitous in real-world applications, such as computation graphs and social networks. Partitioning large graphs into smaller, balanced partitions is often essential, with the bi-objective graph partitioning problem aiming to minimize both...
Algorithms Humans Deep Learning Neural Networks, Computer Computer Graphics
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Graph explicit pooling for graph-level representation learning.

Neural networks : the official journal of the International Neural Network Society Oct 11, 2024
Graph pooling has been increasingly recognized as crucial for Graph Neural Networks (GNNs) to facilitate hierarchical graph representation learning. Existing graph pooling methods commonly consist of two stages: selecting top-ranked nodes and discard...
Algorithms Computer Graphics Humans Neural Networks, Computer Machine Learning
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Classification of Internal and External Distractions in an Educational VR Environment Using Multimodal Features.

IEEE transactions on visualization and computer graphics Oct 11, 2024
Virtual reality (VR) can potentially enhance student engagement and memory retention in the classroom. However, distraction among participants in a VR-based classroom is a significant concern. Several factors, including mind wandering, external noise...
Electroencephalography Attention Computer Graphics Eye-Tracking Technology Virtual Reality Adult Male Machine Learning Brain Female Young Adult Humans Neural Networks, Computer
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RingGesture: A Ring-Based Mid-Air Gesture Typing System Powered by a Deep-Learning Word Prediction Framework.

IEEE transactions on visualization and computer graphics Oct 10, 2024
Text entry is a critical capability for any modern computing experience, with lightweight augmented reality (AR) glasses being no exception. Designed for all-day wearability, a limitation of lightweight AR glass is the restriction to the inclusion of...
Adult Male Female Young Adult Augmented Reality Computer Graphics Deep Learning Gestures Humans
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BAB-GSL: Using Bayesian influence with attention mechanism to optimize graph structure in basic views.

Neural networks : the official journal of the International Neural Network Society Oct 5, 2024
In recent years, Graph Neural Networks (GNNs) have garnered significant attention, with a notable focus on Graph Structure Learning (GSL), a branch dedicated to optimizing graph structures to enhance network training performance. Current GSL methods ...
Humans Neural Networks, Computer Bayes Theorem Attention Computer Graphics Machine Learning Algorithms
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Backdoor attacks on unsupervised graph representation learning.

Neural networks : the official journal of the International Neural Network Society Aug 29, 2024
Unsupervised graph learning techniques have garnered increasing interest among researchers. These methods employ the technique of maximizing mutual information to generate representations of nodes and graphs. We show that these methods are susceptibl...
Computer Graphics Cluster Analysis Unsupervised Machine Learning Neural Networks, Computer Algorithms
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Harnessing collective structure knowledge in data augmentation for graph neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 23, 2024
Graph neural networks (GNNs) have achieved state-of-the-art performance in graph representation learning. Message passing neural networks, which learn representations through recursively aggregating information from each node and its neighbors, are a...
Humans Computer Graphics Algorithms Knowledge Neural Networks, Computer Machine Learning
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CPU-GPU Cooperative QoS Optimization of Personalized Digital Healthcare Using Machine Learning and Swarm Intelligence.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
In recent decades, the rapid advances in information technology have promoted a widespread deployment of medical cyber-physical systems (MCPS), especially in the area of digital healthcare. In digital healthcare, medical edge devices empowered by CPU...
Precision Medicine Computer Graphics Machine Learning Humans Artificial Intelligence Algorithms
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