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Seagull optimization algorithm for node localization in wireless sensor networks
Numerous applications of wireless sensor networks (WSNs) highly depend on the node location, such as maritime rescue, agriculture, and hazardous...
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Leveraging simulation of high performance computing systems with node simulation using architecture simulator
With the scaling-up of high-performance computing (HPC) systems, their simulation becomes more challenging. Realizing that simulation of HPC systems...
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Sparse Imbalanced Drug-Target Interaction Prediction via Heterogeneous Data Augmentation and Node Similarity
Drug-Target Interaction (DTI) prediction usually devotes to accurately identify the potential binding targets on proteins so as to guide the drug... -
High-order proximity and relation analysis for cross-network heterogeneous node classification
Cross-network node classification aims to leverage the labeled nodes from a source network to assist the learning in a target network. Existing...
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Shortest node-to-node disjoint paths algorithm for symmetric networks
Disjoint paths are defined as paths between the source and destination nodes where the intermediate nodes in any two paths are disjoint. They are...
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Example Applications Beyond Node Classification
While our running example in this book was node classification, and also the benchmark datasets discussed above use mostly node classification as a... -
A node clustering algorithm for heterogeneous information networks based on node embeddings
Clustering is a very important method to analyze HIN. Thus, several HIN clustering algorithms have been proposed and all these algorithms are based...
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Node classification across networks via category-level domain adaptive network embedding
To improve the performance of classifying nodes on unlabeled or scarcely-labeled networks, the task of node classification across networks is...
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Stability Analysis of the Architecture of Messaging Systems with a Decentralized Node Structure
AbstractThe results of an architecture stability analysis of messaging systems with a decentralized node structure Briar and Bridgefy are presented....
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Node Similarity Preserving Graph Convolutional Network Based on Full-frequency Information for Node Classification
Recently, graph neural networks have achieved good performance in graph representation learning. However, most graph neural networks only utilize...
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Reliable Target Tracking Model Employing Wireless Sensor Networks
The wireless sensor networks (WSN) provides advancement of number of revolutionary applications such as localization, target tracking, etc. Most of...
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Virtual node graph neural network for full phonon prediction
Understanding the structure–property relationship is crucial for designing materials with desired properties. The past few years have witnessed...
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An optimized sensor node localization approach for wireless sensor networks using RSSI
This article offers an efficient isosceles layout model for node deployment, and a parameter-less Jaya algorithm is also proposed as a solution to...
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Central node identification via weighted kernel density estimation
The detection of central nodes in a network is a fundamental task in network science and graph data analysis. During the past decades, numerous...
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Heterogeneous Graph Prototypical Networks for Few-Shot Node Classification
The node classification task is one of the most significant applications in heterogeneous graph analysis, which is widely used for modeling... -
Property graph representation learning for node classification
Graph representation learning (graph embedding) has led to breakthrough results in various machine learning graph-based applications such as node...
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Label-Aware Hierarchical Contrastive Domain Adaptation for Cross-Network Node Classification
Cross-network node classification (CNNC) has gained a great deal of attention recently, which aims to transfer the knowledge from a label-rich source... -
IP2vec: an IP node representation model for IP geolocation
IP geolocation is essential for the territorial analysis of sensitive network entities, location-based services (LBS) and network fraud detection. It...
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Non-cooperative target tracking method based on underwater acoustic sensor networks
Non-cooperative target tracking technology has significant applications in the field of ocean, serving both military and civilian purposes. The...
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Efficient fog node placement using nature-inspired metaheuristic for IoT applications
Managing the explosion of data from the edge to the cloud requires intelligent supervision, such as fog node deployments, which is an essential task...