AI Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

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Generative and contrastive graph representation learning with message passing.

Neural networks : the official journal of the International Neural Network Society
Self-supervised graph representation learning (SSGRL) has emerged as a promising approach for graph embeddings because it does not rely on manual labels. SSGRL methods are generally divided into generative and contrastive approaches. Generative metho...

Fuzzy spatiotemporal event-triggered control for the synchronization of IT2 T-S fuzzy CVRDNNs with mini-batch machine learning supervision.

Neural networks : the official journal of the International Neural Network Society
This paper is centered on the development of a fuzzy memory-based spatiotemporal event-triggered mechanism (FMSETM) for the synchronization of the drive-response interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy complex-valued reaction-diffusion neural...

GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series.

Neural networks : the official journal of the International Neural Network Society
Accurate prediction of future blood glucose (BG) levels can effectively improve BG management for people living with type 1 or 2 diabetes, thereby reducing complications and improving quality of life. The state of the art of BG prediction has been ac...

Multi-level social network alignment via adversarial learning and graphlet modeling.

Neural networks : the official journal of the International Neural Network Society
Aiming to identify corresponding users in different networks, social network alignment is significant for numerous subsequent applications. Most existing models apply consistency assumptions on undirected networks, ignoring platform disparity caused ...

TF-BERT: Tensor-based fusion BERT for multimodal sentiment analysis.

Neural networks : the official journal of the International Neural Network Society
Multimodal Sentiment Analysis (MSA) has gained significant attention due to the limitations of unimodal sentiment recognition in complex real-world applications. Traditional approaches typically focus on using the Transformer for fusion. However, the...

Fast finite-time quantized control of multi-layer networks and its applications in secure communication.

Neural networks : the official journal of the International Neural Network Society
This paper introduces a quantized controller to address the challenge of fast finite-time synchronization of multi-layer networks, where each layer represents a distinct type of interaction within complex systems. Firstly, based on the stability theo...

GTIGNet: Global Topology Interaction Graphormer Network for 3D hand pose estimation.

Neural networks : the official journal of the International Neural Network Society
Estimating 3D hand poses from monocular RGB images presents a series of challenges, including complex hand structures, self-occlusions, and depth ambiguities. Existing methods often fall short of capturing the long-distance dependencies of skeletal a...

RotInv-PCT: Rotation-Invariant Point Cloud Transformer via feature separation and aggregation.

Neural networks : the official journal of the International Neural Network Society
The widespread use of point clouds has spurred the rapid development of neural networks for point cloud processing. A crucial property of these networks is maintaining consistent output results under random rotations of the input point cloud, namely,...

Pyramid contrastive learning for clustering.

Neural networks : the official journal of the International Neural Network Society
With its ability of joint representation learning and clustering via deep neural networks, the deep clustering have gained significant attention in recent years. Despite the considerable progress, most of the previous deep clustering methods still su...

Unifying and revisiting Sharpness-Aware Minimization with noise-injected micro-batch scheduler for efficiency improvement.

Neural networks : the official journal of the International Neural Network Society
Sharpness-aware minimization (SAM) has been proposed to improve generalization by encouraging the model to converge to a flatter region. However, SAM's two sequential gradient computations lead to 2× computation overhead compared to the base optimize...