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Static Analysis of Boolean Networks Based on Interaction Graphs: A Survey

Loïc Paulevé, Adrien Richard
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/uy5mv2ncw5eahkdx47hkrglxmm" style="color: black;">Electronical Notes in Theoretical Computer Science</a> </i> &nbsp;
To face this problem, a classical approach consists in deducing from the interaction graph of the network, which only contains n vertices, some information on the dynamics of the network.  ...  The dynamical analysis of these networks suffers from the combinatorial explosion of the state space, which grows exponentially with the number n of components.  ...  All the topics regarding the static analysis based on interaction graphs have not been covered in this short survey.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.entcs.2012.05.017">doi:10.1016/j.entcs.2012.05.017</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jpamzaa7mfcejb7rko2cop2tpq">fatcat:jpamzaa7mfcejb7rko2cop2tpq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190321151353/https://core.ac.uk/download/pdf/53008494.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6a/89/6a89f06e7006a28022c6816859878c90c69f5833.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.entcs.2012.05.017"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Graph Summarization Methods and Applications: A Survey [article]

Yike Liu, Tara Safavi, Abhilash Dighe, Danai Koutra
<span title="2018-01-16">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This survey is a structured, comprehensive overview of the state-of-the-art methods for summarizing graph data. We first broach the motivation behind, and the challenges of, graph summarization.  ...  Finally, we discuss applications of summarization on real-world graphs and conclude by describing some open problems in the field.  ...  Specifically, in this survey: (1) We create a taxonomy ( Figure 1 ) on the three main instances of the graph summarization problem: for plain static graphs (Section 2), for static graphs with additional  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1612.04883v3">arXiv:1612.04883v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fhg2g5eldfdgfkzoqdmbfl5er4">fatcat:fhg2g5eldfdgfkzoqdmbfl5er4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191015091340/https://arxiv.org/pdf/1612.04883v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/96/86/968605c99dc6f40cbfeb4cf6e3322fee531e667f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1612.04883v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Private Graph Data Release: A Survey [article]

Yang Li, Michael Purcell, Thierry Rakotoarivelo, David Smith, Thilina Ranbaduge, Kee Siong Ng
<span title="2021-07-09">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A wide-ranging survey of the applications of private graph data release mechanisms to social networks, finance, supply chain, health and energy is also provided.  ...  This paper provides a comprehensive survey of private graph data release algorithms that seek to achieve the fine balance between privacy and utility, with a specific focus on provably private mechanisms  ...  Sometimes, instead of a static graph, there may be a sequence of dynamic graphs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.04245v1">arXiv:2107.04245v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kixgz52kejarhjt6sbrkfy4cga">fatcat:kixgz52kejarhjt6sbrkfy4cga</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210714174313/https://arxiv.org/pdf/2107.04245v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/26/7c/267c544e3bc132e858767c279affe8502dab70c2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.04245v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking [article]

Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman
<span title="2020-05-22">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Relevant developments in machine learning research on graphs is surveyed, for this purpose.  ...  We organize and compare the structures involved with learning to solve combinatorial optimization problems, with a special eye on the telecommunications domain and its continuous development of live and  ...  [34] 2018 a problem-based graph embedding taxonomy, analysis of surveyed graph embedding techniques, categorization of applications enabled by graph embedding into node, edge and graph related Zhang  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.11081v1">arXiv:2005.11081v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ajqghcevqvdrvdlcrknxlzlqdi">fatcat:ajqghcevqvdrvdlcrknxlzlqdi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200528174835/https://arxiv.org/pdf/2005.11081v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.11081v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Systematic Survey on Deep Generative Models for Graph Generation [article]

Xiaojie Guo, Liang Zhao
<span title="2020-07-18">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
As one of a critical problem in this area, graph generation considers learning the distributions of given graphs and generating more novel graphs.  ...  Owing to its wide range of applications, generative models for graphs have a rich history, which, however, are traditionally hand-crafted and only capable of modeling a few statistical properties of graphs  ...  To the best of our knowledge, there is no systematic survey on deep generative models for graph generation. Outline of the Survey The rest of this survey is organized as follows.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.06686v2">arXiv:2007.06686v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xox7apwdvbfhlgnsgrr3w3rv5m">fatcat:xox7apwdvbfhlgnsgrr3w3rv5m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200723174014/https://arxiv.org/pdf/2007.06686v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2d/8a/2d8af53d16ff2eaab1e91125569f6d015b2cb036.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.06686v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking

Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Relevant developments in machine learning research on graphs are surveyed for this purpose.  ...  We organize and compare the structures involved with learning to solve combinatorial optimization problems, with a special eye on the telecommunications domain and its continuous development of live and  ...  Junaid Shuja, who coordinated the review process, and to the anonymous reviewers for their expeditious and helpful review comments received in preparation of the final version of the manuscript.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3004964">doi:10.1109/access.2020.3004964</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v7i7x6p77zfi7dntipxoiolily">fatcat:v7i7x6p77zfi7dntipxoiolily</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429010347/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09125934.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a0/7b/a07b5f4f2a921f53e3cacdfa3afd3231a428a194.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3004964"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

A Survey of RDF Stores SPARQL Engines for Querying Knowledge Graphs [article]

Waqas Ali, Muhammad Saleem, Bin Yao, Aidan Hogan, Axel-Cyrille Ngonga Ngomo
<span title="2021-10-13">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This survey paper provides a comprehensive review of techniques and systems for querying RDF knowledge graphs.  ...  To keep the survey self-contained, we also provide a short discussion on graph partitioning techniques used in the distributed setting.  ...  Neptune makes use of cardinality estimations and static analysis to rewrite queries.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.13027v4">arXiv:2102.13027v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/phontczhbfcvdjt5y75n3hfcge">fatcat:phontczhbfcvdjt5y75n3hfcge</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211015190304/https://arxiv.org/pdf/2102.13027v4.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/03/78/037891f3cec1f81bfb2fec10e9b294bb25845384.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.13027v4" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A survey of models for inference of gene regulatory networks

Blagoj Ristevski
<span title="2013-10-25">2013</span> <i title="Vilnius University Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sao6wish4jhpfmxly64sokfzam" style="color: black;">Nonlinear Analysis: Modelling and Control</a> </i> &nbsp;
The most commonly used GRNs models based on Boolean networks, Bayesian networks, relevance networks, differential and difference equations are described.  ...  A novel model for integration of prior biological knowledge in the GRNs inference is presented, too. The advantages and disadvantages of the described models are compared.  ...  of GRNs is the model based on Boolean networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15388/na.18.4.13972">doi:10.15388/na.18.4.13972</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2jil4fn4svfjpfnbk7f3uzkmoq">fatcat:2jil4fn4svfjpfnbk7f3uzkmoq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210015100/https://www.journals.vu.lt/nonlinear-analysis/article/download/13972/12891" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c0/6c/c06ca5873a5dabf249a8d6fb74375f0f11db7865.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15388/na.18.4.13972"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A Survey on Community Detection Methods in Social Networks

Mehjabin Khatoon, W. Aisha Banu
<span title="2015-05-08">2015</span> <i title="MECS Publisher"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/m7t4p2keq5h2rgbfjgwqthgp4q" style="color: black;">International Journal of Education and Management Engineering</a> </i> &nbsp;
This paper presents a survey on community detection approaches, which have already been proposed, and also discussing the type of social networks on which those proposed approaches are applicable.  ...  This survey can play a significant role in the analysis and evaluation of community detection approaches in different application domains.  ...  Social networks depict the interactions between individuals or entities and are represent ed by a graph of interconnected nodes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5815/ijeme.2015.01.02">doi:10.5815/ijeme.2015.01.02</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zqjisbvicffcneg2dmacjwj7si">fatcat:zqjisbvicffcneg2dmacjwj7si</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809171234/http://www.mecs-press.org/ijeme/ijeme-v5-n1/IJEME-V5-N1-2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b2/c7/b2c73a38671d2196e937c97f3b8a5913782f2d5d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5815/ijeme.2015.01.02"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Internet of Things Malware : A Survey

Evanson Mwangi Karanja, Shedden Masupe, Jeffrey Mandu
<span title="2017-06-30">2017</span> <i title="Academy and Industry Research Collaboration Center (AIRCC)"> International Journal of Computer Science &amp; Engineering Survey </i> &nbsp;
Due to vast data shared and increased interaction; they have attracted the interest of malware writers.  ...  In this paper we review literature on internet of things malware categories, support technologies, propagation and tools KEYWORDS Internet of Things (IoT), Malware, Malware synthesis, Machine to Machine  ...  ACKNOWLEDGEMENTS This work was supported by EU-Intra-ACP Mobility under Mobility to Enhance Training of Engineering Graduates in Africa (METEGA) grant.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijcses.2017.8301">doi:10.5121/ijcses.2017.8301</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dqsotxtph5cm5gmagwdxd6rmju">fatcat:dqsotxtph5cm5gmagwdxd6rmju</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180604033342/http://aircconline.com/ijcses/V8N3/8317ijcses01.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/92/d6/92d6ad220a6ebc906606155816d4f3f7d27b4ae2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijcses.2017.8301"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Survey of Computational Approaches to Reconstruct and Partition Biological Networks [chapter]

Lipi Acharya, Thair Judeh, Dongxiao Zhu
<span title="2012-06-21">2012</span> <i title="John Wiley &amp; Sons, Inc."> Statistical and Machine Learning Approaches for Network Analysis </i> &nbsp;
It returns a varying number of communities based on where one cuts the dendrogram allowing for a more detailed analysis.  ...  On the other hand, prior to apply gene set based network reconstruction algorithms, a computational or experimental analysis is first needed to derive gene sets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/9781118346990.ch1">doi:10.1002/9781118346990.ch1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nxykyfoherf6fpzfpwo5acyy6a">fatcat:nxykyfoherf6fpzfpwo5acyy6a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705113639/http://www.cs.wayne.edu/dzhu/networkSurvey.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/70/4e/704e243953edd0ae18f0e0c7533425c0055697ee.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/9781118346990.ch1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>

Extraction and Analysis of Fictional Character Networks

Vincent Labatut, Xavier Bost
<span title="2019-09-13">2019</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eiea26iqqjcatatlgxdpzt637y" style="color: black;">ACM Computing Surveys</a> </i> &nbsp;
A character network is a graph extracted from a narrative, in which vertices represent characters and edges correspond to interactions between them.  ...  We first describe the extraction process in a generic way, and explain how its constituting steps are implemented in practice, depending on the medium of the narrative, the goal of the network analysis  ...  Part of this work was funded by Agorantic FR 3621.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3344548">doi:10.1145/3344548</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zujg55eixfct7blvj6lxwo4usq">fatcat:zujg55eixfct7blvj6lxwo4usq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200311154839/https://hal.archives-ouvertes.fr/hal-02173918/document" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/38/9d/389d6aa5c3c5d4c92ade10c81409edaa8dac7264.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3344548"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A Survey of Binary Code Similarity [article]

Irfan Ul Haq, Juan Caballero
<span title="2019-09-25">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper presents a first survey of binary code similarity.  ...  The ability to compare binary code enables many real-world applications on scenarios where source code may not be available such as patch analysis, bug search, and malware detection and analysis.  ...  All opinions, findings and conclusions, or recommendations expressed herein are those of the authors and do not necessarily reflect the views of the sponsors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.11424v1">arXiv:1909.11424v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dry5hbq3qjdvdnvrjaoxwoztlq">fatcat:dry5hbq3qjdvdnvrjaoxwoztlq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200905073228/https://arxiv.org/pdf/1909.11424v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0c/1d/0c1deb90db89e56c268201214d13dc39397f3206.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.11424v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Social networks and statistical relational learning: a survey

Floriana Esposito, Stefano Ferilli, Teresa M.A. Basile, Nicola Di Mauro
<span title="">2012</span> <i title="Inderscience Publishers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7fwrratibve4fc3twcvbzh4n6m" style="color: black;">International Journal of Social Network Mining</a> </i> &nbsp;
With the spread of the internet, several complex interactions have taken place among people, giving rise to huge information networks based on these interactions.  ...  This paper is a survey of some SRL formalisms and techniques adopted to solve some SNM tasks.  ...  In a static perspective, it consists of identifying the connections between two items in a network, even if a direct connection between them is not explicitly present in the network graph.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1504/ijsnm.2012.051057">doi:10.1504/ijsnm.2012.051057</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6i7n2zrrj5geho3eh6nicay5nm">fatcat:6i7n2zrrj5geho3eh6nicay5nm</a> </span>
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Systems immunology: a survey of modeling formalisms, applications and simulation tools

Vipin Narang, James Decraene, Shek-Yoon Wong, Bindu S. Aiswarya, Andrew R. Wasem, Shiang Rong Leong, Alexandre Gouaillard
<span title="2012-04-13">2012</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/iitavll23nhjbnlaje7c23w7ou" style="color: black;">Immunologic research</a> </i> &nbsp;
First, it introduces the field of system immunology emphasizing on the modeling and simulation components.  ...  ., signaling pathways) of immune systems in a reductionist manner. In contrast, systems immunology aims to give a synthetic understanding of how these components function together as a whole.  ...  Singapore Immunology Network: SIgN  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s12026-012-8305-7">doi:10.1007/s12026-012-8305-7</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/22528121">pmid:22528121</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/et6tel52m5bftmia7nnxlgo7jy">fatcat:et6tel52m5bftmia7nnxlgo7jy</a> </span>
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