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   Articles with "gnn" as a keyword



Employing Graph Neural Networks for Predicting Electrode Average Voltages and Screening High-Voltage Sodium Cathode Materials.

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recommendations! Published in 2024 at "ACS applied materials & interfaces"

DOI: 10.1021/acsami.4c00624

Abstract: For many years, humans have been relentlessly focused on enhancing battery longevity and boosting energy storage capacities. The performance and durability of a battery depend significantly on the material used for its electrodes. In this… read more here.

Keywords: battery; gnn; transformer gnn; high voltage ... See more keywords

CC-GNN: A Clustering Contrastive Learning Network for Graph Semi-Supervised Learning

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3398356

Abstract: In graph modeling, scarcity of labeled data is a challenging issue. To address this issue, state-of-the-art graph models learn the representation of graph data via contrastive learning. Those models usually use data augmentation techniques to… read more here.

Keywords: clustering contrastive; gnn; network; contrastive learning ... See more keywords

A Topology-Aware GNN Learning Approach for Energy Optimization in Multihop LoRa Networks

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3606698

Abstract: Energy optimization is crucial for extending battery life and reducing maintenance costs in long-range (LoRa) Internet of Things (IoT) networks. Traditional optimization methods usually need excessive computational complexity, limiting the practicability. This drives the recent… read more here.

Keywords: gnn; energy; multihop; topology ... See more keywords

SIGFinger: A Subtle and Interactive GNN Fingerprinting Scheme Via Spatial Structure Inference Perturbation

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recommendations! Published in 2025 at "IEEE Transactions on Dependable and Secure Computing"

DOI: 10.1109/tdsc.2025.3535588

Abstract: There have been significant improvements in intellectual property (IP) protection for deep learning models trained on euclidean data. However, the complex and irregular graph-structured data in non-euclidean space poses a huge challenge to the IP… read more here.

Keywords: gnn fingerprinting; gnn; interactive gnn; structure ... See more keywords

SE-GNN: Seed Expanded-Aware Graph Neural Network With Iterative Optimization for Semi-Supervised Entity Alignment

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recommendations! Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2025.3555586

Abstract: Entity alignment aims to use pre-aligned seed pairs to find other equivalent entities from different knowledge graphs and is widely used in graph fusion-related fields. However, as the scale of knowledge graphs increases, manually annotating… read more here.

Keywords: seed; gnn; potential seed; seed pairs ... See more keywords

On Adaptive Edge Microservice Placement: A Reinforcement Learning Approach Endowed With Graph Comprehension

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recommendations! Published in 2024 at "IEEE Transactions on Mobile Computing"

DOI: 10.1109/tmc.2024.3396510

Abstract: Microservice (MS) structures a service application as a collection of independently deployable service modules, making it particularly suitable for delivering complex applications in distributed computing systems. This article investigates MS architecture over Mobile Edge Computing… read more here.

Keywords: ddpg; microservice; gnn; edgems placement ... See more keywords

Federated Brain Graph Evolution Prediction using Decentralized Connectivity Datasets with Temporally-varying Acquisitions.

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recommendations! Published in 2022 at "IEEE transactions on medical imaging"

DOI: 10.1109/tmi.2022.3225083

Abstract: Foreseeing the evolution of brain connectivity between anatomical regions from a baseline observation can propel early disease diagnosis and clinical decision making. Such task becomes challenging when learning from multiple decentralized datasets with missing timepoints… read more here.

Keywords: connectivity; gnn; brain; acquisitions federated ... See more keywords

CCF-GNN: A Unified Model Aggregating Appearance, Microenvironment, and Topology for Pathology Image Classification.

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recommendations! Published in 2023 at "IEEE transactions on medical imaging"

DOI: 10.1109/tmi.2023.3249343

Abstract: Pathology images contain rich information of cell appearance, microenvironment, and topology features for cancer analysis and diagnosis. Among such features, topology becomes increasingly important in analysis for cancer immunotherapy. By analyzing geometric and hierarchically structured… read more here.

Keywords: topology; cell; gnn; level ... See more keywords

Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams

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recommendations! Published in 2022 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2021.3087000

Abstract: Online handwritten diagram recognition (OHDR) has attracted considerable attention for its potential applications in many areas, but it is a challenging task due to the complex 2D structure, writing style variation, and lack of annotated… read more here.

Keywords: recognition; symbol; gnn; symbol segmentation ... See more keywords

Optimizing Graph Neural Network With Multiaspect Hilbert-Schmidt Independence Criterion.

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recommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3171419

Abstract: The graph neural network (GNN) has demonstrated its superior power in various data mining tasks and has been widely applied in diversified fields. The core of GNN is the aggregation and combination functions, and mainstream… read more here.

Keywords: neural network; network; gnn; graph neural ... See more keywords

Unsupervised weathering identification of grottoes sandstone via statistical features of acoustic emission signals and graph neural network

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recommendations! Published in 2024 at "Heritage Science"

DOI: 10.1186/s40494-024-01432-w

Abstract: Weathering features of sandstone heritage can be recognized by using artificial intelligence (AI) based surrogate models, and most models perform classification tasks for types based on precise labels. But there are lack of prior validated… read more here.

Keywords: gnn; statistical features; features acoustic; graph neural ... See more keywords