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Polarized Communities Search via Co-guided Random Walk in Attributed Signed Networks
2023
ACM Transactions on Internet Technology
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To address the above challenges, we propose a novel method Co-guided Random Walk in Attributed signed networks (CoRWA) for polarized communities search by equipping with reasonable attribute setting. ...
Further analysis reveals the significance of node attributes for polarized communities search. ...
propose a local spectral method to ind polarized communities in signed graphs [33] . ...
doi:10.1145/3613449
fatcat:cvyd5u6n3jfnxckaa73dwwu3bq
SHEEP: Signed Hamiltonian Eigenvector Embedding for Proximity
[article]
2023
arXiv
pre-print
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We introduce a spectral embedding algorithm for finding proximal relationships between nodes in signed graphs, where edges can take either positive or negative weights. ...
Finally, we show through a series of experiments on synthetic and empirical networks, that the resulting position in the embedding can be used to recover certain continuous node attributes, and that the ...
We thank the authors of [21] for the access to the Australian Rainfall Correlations data-set. ...
arXiv:2302.07129v1
fatcat:65cxxawl5zc5dbkq7ywmxzlp54
Paper Title
2021
2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
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of High Voltage Insulator using Convolutional Neural Network Wireless Sensor Networks for Optimisation of Search and Rescue Management in Floods Analysis of FMCW-Radar signals to extract vital-sign information ...
by Control and User Planes Separation in 4G and 5G Recent Technology Trends in Satellite Communication Subsystems ION/IOFF Improvement for No Junction Surrounding Gate TFET with different high-k values ...
doi:10.1109/conecct52877.2021.9622649
fatcat:y65u5a3sqrg2jmi74gebh5mjc4
SSSNET: Semi-Supervised Signed Network Clustering
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2110.06623v2 fatcat:im5o6run3bdaxhvp3wh7ws5udqOther Versions
Here, we introduce a novel probabilistic balanced normalized cut loss for training nodes in a GNN framework for semi-supervised signed network clustering, called SSSNET. ...
In particular, most state-of-the-art methods generating node embeddings of signed networks focus on link sign prediction, and those that pertain to node clustering are usually not graph neural network ...
experiments, we compare SSSNET against nine state-of-the-art spectral clustering methods in signed networks mentioned in Sec. 2. ...
arXiv:2110.06623v3
fatcat:5hutrjkranh6tpevptox4bruea
Seismic features and automatic discrimination of deep and shallow induced-microearthquakes using neural network and logistic regression
2016
Geophysical Journal International
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Forty different seismic attributes of whole seismograms including degree of polarization and spectral attributes were measured. ...
Spectral centroids and 2-D crosscorrelations in the time-frequency domain are two new seismic features used in this study that showed to be promising measures for seismic event classification. ...
In general, we can conclude that frequency and polarization attributes, respectively, have the highest sensitivity for determining event source depth. ...
doi:10.1093/gji/ggw258
fatcat:bmfodjkjz5hmtchzbu57mcawhi
Table of contents
2014
2014 International Conference on Informatics, Electronics & Vision (ICIEV)
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System Based on Distributed Sensor Network in
Bangladesh
286
Motion Analysis for Moving Object Detection from UAV Aerial Images:A Review
288
Design of a Circular Polarization Array Antenna with ...
240
Effect of sensor number and location in cross-correlation based node estimation technique
for underwater communications network
241
Mining Frequent Pattern within a Genetic Sequence Using Unique ...
for privacy protection and community safety ...
doi:10.1109/iciev.2014.6850868
fatcat:y4gdctlg3zgajc3ge3drl6itcy
Spectral Graph Forge: Graph Generation Targeting Modularity
[article]
2018
arXiv
pre-print
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In this paper, we introduce a principled methodology, the Spectral Graph Forge, for generating random graphs that preserves community structure from a real network of interest, in terms of modularity. ...
Community structure is an important property that captures inhomogeneities common in large networks, and modularity is one of the most widely used metrics for such community structure. ...
Second, Q can be used to search for community structure, by seeking a partition of nodes into m * communities, c * 1 , . . . , c * n , such that Q * is maximized. ...
arXiv:1801.01715v1
fatcat:bd5nq64bobhanmihsaejyvv6ji
Distinct cortical systems reinstate the content and context of episodic memories
[article]
2020
bioRxiv
pre-print
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We identified dissociable cortical networks via functional connectivity that uniquely reinstated semantic content and temporal context of previously studied stimuli during free recall. ...
Network-specific reinstatement predicted the temporal and semantic organization of recall sequences, demonstrating how specialized cortical systems enable the human brain to target specific memories. ...
Acknowledgments We thank Medtronic and Blackrock Microsystems for providing neural recording equipment. We also thank Drs. Ethan ...
doi:10.1101/2020.08.20.248567
fatcat:gtzu5sh2hna5xojewlc7zuqkhm
Semi-supervised Gated Spectral Convolution on a Directed Signed Network
2020
IEEE Access
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In this paper, we therefore propose a method for semi-supervised gated spectral convolution in directed signed networks. ...
INDEX TERMS Directed signed networks, spectral graph convolutional networks, balance theory, gating mechanism, network embedding, link sign prediction. ...
This eliminates wrong polarity relationships in signed networks and adds self-connections to pave the way for subsequent sign propagation. ...
doi:10.1109/access.2020.2979865
fatcat:fb75iqgwabcmbndqsweuteaqpm
A Comprehensive Review of Community Detection in Graphs
[article]
2024
arXiv
pre-print
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This review article delves into the topic of community detection in graphs, which serves as a thorough exposition of various community detection methods from perspectives of modularity-based method, spectral ...
The study of complex networks has significantly advanced our understanding of community structures which serves as a crucial feature of real-world graphs. ...
for community detection in attributed networks. ...
arXiv:2309.11798v4
fatcat:vu3skmbwuncixlufd3jmfmc4xa
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs
[article]
2023
arXiv
pre-print
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2023 pre-print arXiv:2202.10793v5 fatcat:heedu4we35fibijzktk3yikps4Other Versions
While many networks are signed or directed, or both, there is a lack of unified software packages on graph neural networks (GNNs) specially designed for signed and directed networks. ...
In this paper, we present PyTorch Geometric Signed Directed (PyGSD), a software package which fills this gap. ...
spectral analysis methods on signed networks; CDLIB [66] allows to extract, compare and evaluate communities from complex networks; EvalNE [54] is designed for assessing and comparing the performance ...
arXiv:2202.10793v6
fatcat:craty275zfb65pvbaek4xvwane
Laser-Induced Fluorescence Emission (L.I.F.E.): In Situ Nondestructive Detection of Microbial Life in the Ice Covers of Antarctic Lakes
2009
Astrobiology
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The findings open up the possibility of searching from either a rover or from orbit for signs of life in the polar regions of Mars and the frozen regions of exoplanets in neighboring star systems. ...
L.I.F.E. survey strategies described may be of interest for orbital monitoring of photosynthetic primary productivity in polar and alpine glaciers, ice sheets, snow, and lake ice of Earth's cryosphere. ...
Mortvedt, the expedition leader, for repeated assistance in acquiring difficult samples. ...
doi:10.1089/ast.2009.0351
pmid:19778277
fatcat:mvjvg2nkjnhpbfetslhgz2tidq
Electioneering the Network: Dynamic Multi-Step Adversarial Attacks for Community Canvassing
[article]
2024
arXiv
pre-print
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The problem of online social network manipulation for community canvassing is of real concern in today's world. ...
In particular, we explore minimum budget attacks for community canvassing (MBACC). ...
Post label-converting, the model perturbs the voter attributes in order to maximize influence of the attacking community in that voter's local neighborhood. ...
arXiv:2403.12399v1
fatcat:vvkiltvrubeexnex7kynel4spm
A protocol for high-throughput, untargeted forest community metabolomics using mass spectrometry molecular networks
2018
Applications in Plant Sciences
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A protocol for high-throughput, untargeted forest community metabolomics using mass spectrometry molecular networks. ...
untargeted metabolomics of plant tissue and suitable for molecular networking applications. ...
Molecular network assembly 1. Sign in on GNPS (http://gnps.ucsd.edu). Then navigate to → Data Analysis. ...
doi:10.1002/aps3.1033
pmid:29732263
pmcid:PMC5895185
fatcat:ouymbfbbkfbtnnnfvl2gly7znq
Micro-scale modeling of contaminant effects on surface optical properties
2008
Imaging Spectrometry XIII
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The optical properties of a surface may change significantly in response to contaminants from the environment and/or human activity. ...
We utilize a first principles, physics-based radiometric ray tracing software package to evaluate the spectral polarimetric bi-directional reflectance distribution function (BRDF) of the virgin and contaminated ...
The authors wish to thank the Intelligence Community Post-Doctoral Fellowship Research program and Lockheed Martin Information Systems & Global Services Enterprise Integration Group for supporting this ...
doi:10.1117/12.796428
fatcat:6eu3iqycpvhorfqoym7pb57pum
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