AIMC Topic: Graph Neural Networks

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Mathematical expression exploration with graph representation and generative graph neural network.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Symbolic Regression (SR) methods in tree representations have exhibited commendable outcomes across Genetic Programming (GP) and deep learning search paradigms. Nonetheless, the tree representation of mathematical expressions occasionally embodies re...
Humans Neural Networks, Computer Algorithms Deep Learning Graph Neural Networks
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Motif and supernode-enhanced gated graph neural networks for session-based recommendation.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Session-based recommendation systems aim to predict users' next interactions based on short-lived, anonymous sessions, a challenging yet vital task due to the sparsity and dynamic nature of user behavior. Existing Graph Neural Network (GNN)-based met...
Graph Neural Networks Neural Networks, Computer Algorithms Humans
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SympGNNs: Symplectic Graph Neural Networks for identifying high-dimensional Hamiltonian systems and node classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Existing neural network models to learn Hamiltonian systems, such as SympNets, although accurate in low-dimensions, struggle to learn the correct dynamics for high-dimensional many-body systems. Herein, we introduce Symplectic Graph Neural Networks (...
Neural Networks, Computer Algorithms Computer Simulation Molecular Dynamics Simulation Graph Neural Networks
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Adaptive node-level weighted learning for directed graph neural network.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Directed graph neural networks (DGNNs) have garnered increasing interest, yet few studies have focused on node-level representation in directed graphs. In this paper, we argue that different nodes rely on neighbor information from different direction...
Machine Learning Humans Algorithms Neural Networks, Computer Learning Graph Neural Networks
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Graph Neural Networks with Coarse- and Fine-Grained Division for mitigating label noise and sparsity.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Graph Neural Networks (GNNs) have gained considerable prominence in semi-supervised learning tasks in processing graph-structured data, primarily owing to their message-passing mechanism, which largely relies on the availability of clean labels. Howe...
Graph Neural Networks Neural Networks, Computer Algorithms Humans
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Heterogeneous Graph Neural Network with Adaptive Relation Reconstruction.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Topological structures of real-world graphs often exhibit heterogeneity involving diverse nodes and relation types. In recent years, heterogeneous graph learning methods utilizing meta-paths to capture composite relations and guide neighbor selection...
Graph Neural Networks Humans Neural Networks, Computer Algorithms
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ENsiRNA: A Multimodality Method for siRNA-mRNA and Modified siRNA Efficacy Prediction Based on Geometric Graph Neural Network.

Journal of molecular biology Jun 15, 2025
With the rise of small interfering RNA (siRNA) as a therapeutic tool, effective siRNA design is crucial. Current methods often emphasize sequence-related features, overlooking structural information. To address this, we introduce ENsiRNA, a multimoda...
Graph Neural Networks Computational Biology Humans RNA, Messenger Neural Networks, Computer RNA, Small Interfering Thermodynamics
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Improved prediction of chlorophyll-a concentrations using advancing graph neural network variants.

The Science of the total environment Jun 1, 2025
Accurate estimation of harmful algal blooms is essential for protecting surface water. Chlorophyll-a (Chl-a), commonly used as a proxy for estimating algal concentration, is influenced by a broad range of weather and physicochemical factors that oper...
Neural Networks, Computer Republic of Korea Harmful Algal Bloom Chlorophyll A Environmental Monitoring Water Quality Graph Neural Networks
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Fusion of multi-scale feature extraction and adaptive multi-channel graph neural network for 12-lead ECG classification.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: The 12-lead electrocardiography (ECG) is a widely used diagnostic method in clinical practice for cardiovascular diseases. The potential correlation between interlead signals is an important reference for clinical diagnosis ...
Cardiovascular Diseases Neural Networks, Computer Graph Neural Networks Deep Learning Signal Processing, Computer-Assisted Humans ROC Curve Algorithms Electrocardiography
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LGLoc as a new language model-driven graph neural network for mRNA localization.

Scientific reports May 28, 2025
The localization of mRNA is crucial for the synthesis of functional proteins and plays a significant role in cellular processes. Understanding mRNA localization can enhance applications in disease diagnosis (e.g., cancer, Alzheimer's) and drug develo...
Neural Networks, Computer Machine Learning Humans RNA, Messenger Algorithms Graph Neural Networks Computational Biology
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