{"id":22891,"date":"2021-03-21T21:53:12","date_gmt":"2021-03-22T01:53:12","guid":{"rendered":"http:\/\/bangla.salearningschool.com\/recent-posts\/?p=22891"},"modified":"2024-08-25T15:09:44","modified_gmt":"2024-08-25T19:09:44","slug":"graph-mining-misc-topics-to-learn-misc-resources-to-learn-from","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=22891","title":{"rendered":"Graph Mining: Misc. Topics to Learn: Misc. Resources to Learn From"},"content":{"rendered":"\n<p><strong>Graph Mining: Misc. Topics to Learn: Misc. Resources to Learn From<\/strong><\/p>\n\n\n\n<ul id=\"yui_3_17_2_1_1616376904375_276\" class=\"wp-block-list\">\n<li><a href=\"http:\/\/sitestree.com\/training\/course\/view.php?id=112#section-19\">Influence\/Virus\/Label Propagation<\/a>\n<ul class=\"wp-block-list\">\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=552\">Resources to learn fromPage<\/a><\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=543\">A presentation on Influence\/Virus PropagationURL<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"http:\/\/sitestree.com\/training\/course\/view.php?id=112#section-20\">Big Data Graph Databases<\/a>\n<ul class=\"wp-block-list\">\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=568\">Resources to Learn FromPage<\/a><\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=548\">Graph DatabaseURL<\/a><\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=557\">Neo4jPage<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"http:\/\/sitestree.com\/training\/course\/view.php?id=112#section-21\">Big Data Graph Processing<\/a>\n<ul class=\"wp-block-list\">\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=574\">Resources to Learn FromPage<\/a><\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=544\">ToolURL<\/a><\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=545\">Techniques, Tools and Applications of Graph AnalyticURL<\/a><\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=546\">Graph Processing with HadoopURL<\/a><\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=556\">Graph Processing: GraphX, GraphFramesPage<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"http:\/\/sitestree.com\/training\/course\/view.php?id=112#section-22\">Social Network Analysis<\/a>\n<ul class=\"wp-block-list\">\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=539\">Learn From: Social Network AnalysisURL<\/a><\/li>\n\n\n\n<li>Some other topics before relates to this topic. https:\/\/hpi.de\/fileadmin\/user_upload\/fachgebiete\/mueller\/courses\/graphmining\/GraphMining-02-Social-Network-Analysis.pdf<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"http:\/\/sitestree.com\/training\/course\/view.php?id=112#section-23\">Querying Graphs: Isomorphic Graphs<\/a>\n<ul class=\"wp-block-list\">\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=540\">Learn From: Querying Graphs: Isomorphic GraphsURL<\/a><\/li>\n\n\n\n<li>https:\/\/hpi.de\/fileadmin\/user_upload\/fachgebiete\/mueller\/courses\/graphmining\/GraphMIning-03-Querying-Graphs.pdf<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"http:\/\/sitestree.com\/training\/course\/view.php?id=112#section-24\">Mining graph patterns<\/a>\n<ul class=\"wp-block-list\">\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=541\">Learn From: Mining graph patternsURL<\/a><\/li>\n\n\n\n<li>https:\/\/hpi.de\/fileadmin\/user_upload\/fachgebiete\/mueller\/courses\/graphmining\/GraphMining-04-FrequentSubgraph.pdf<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"http:\/\/sitestree.com\/training\/course\/view.php?id=112#section-25\">Graph Mining and Classifications<\/a>\n<ul class=\"wp-block-list\">\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=567\">Resources to Learn FromPage<\/a><\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=553\">Resources to Learn From: All topics belowPage<\/a><\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=554\">Graph Classifications: Resources to Learn FromPage<\/a><\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=555\">Graph Kernel (Based Classifications) : ResourcesPage<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"http:\/\/sitestree.com\/training\/course\/view.php?id=112#section-26\">Tools and Examples<\/a>\n<ul class=\"wp-block-list\">\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=562\">List 1: Top 30 Social Network Analysis and Visualization ToolsURL<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/www.commetrix.de\/\"><strong>Commetrix<\/strong><\/a>,\u00a0<a href=\"http:\/\/cuttlefish.sourceforge.net\/\"><strong>Cuttlefish<\/strong><\/a>,\u00a0<a href=\"http:\/\/www.cytoscape.org\/\"><strong>Cytoscape<\/strong><\/a>,\u00a0<a href=\"http:\/\/sourceforge.net\/projects\/egonet\/\"><strong>EgoNet<\/strong><\/a>,\u00a0<a href=\"http:\/\/gephi.github.io\/\"><strong>Gephi<\/strong><\/a>,\u00a0<a href=\"https:\/\/graph-tool.skewed.de\/\"><strong>Graph-tool<\/strong><\/a>,\u00a0<a href=\"https:\/\/github.com\/GraphChi\/graphchi-cpp\"><strong>GraphChi<\/strong><\/a>,\u00a0<a href=\"http:\/\/graphviz.org\/\"><strong>Graphviz<\/strong><\/a><\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=563\">List 2: Graph Analytics ToolsURL<\/a> igraph, NetworkX, graph-<a href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=544\">tool<\/a>, Gephi, SNAP, JUNG, Mathematica, D3.js, Cytoscape<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"http:\/\/sitestree.com\/training\/course\/view.php?id=112#section-27\">Probable Assignments<\/a>\n<ul class=\"wp-block-list\">\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=580\">Graph Datasets for Assignments and Projects; also for researchPage<\/a> <\/li>\n\n\n\n<li>You will see many datasets on the URL: You can apply your implementation on a dataset\/graph of your choice though make sure the properties (directed\/undirected\/weighted\/unweighted\/connected\/not-connected and others) match with the question.<\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=584\">Python or R Libraries for Graph Mining ImplementationsPage<\/a><\/li>\n\n\n\n<li>https:\/\/networkx.github.io\/documentation\/latest\/_downloads\/networkx_reference.pdfhttps:\/\/networkx.github.io\/documentation\/stable\/reference\/introduction.html<br \/><br \/><\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=564\">List 1: Implement the following algorithms and apply on large graphs (in Plain Python or R without Graph Libraries)Page<\/a><\/li>\n\n\n\n<li>Click the above link for details: BFS, DFS, Single Source Shortest Path, All pair shortest path, Karger&#8217;s Algorithm, Min-Cut Algorithm, Cliques Algorithms, Dijiktra\u2019s Shortest Path implementation (for shortest paths or the longest paths)<br \/>More will be added later .. any algorithm that you will come across can be an assignment as well. You might try to study and implement the most important algorithms that are used practically and are famous (or solve important problems)<\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=565\">List 2: Use Graph Algorithms provided by NetworkX (Python, R) librariesPage<\/a><\/li>\n\n\n\n<li>Assignments related to demonstrating the capability to be able to use the Graph Algorithms provided in the NetworkX library. Such as find the related library methods\/algorithm as mentioned in list 1 and apply on the same datasets : do you get the same results.<\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=581\">List 3: Spanning Tree, Connected SubgraphsPage<\/a><\/li>\n\n\n\n<li>In Short: Implement Spanning Tree, and Highly Connected Subgraphs<\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=582\">List 4: Based on Graph Properties and ConceptsPage<\/a><\/li>\n\n\n\n<li>Given a graph (use a data-set or a small graph first) then apply on large graphs. Write Python or R code to Identify the isolated nodes in the graph, count\u00a0 bi-directional edges in the graph,\u00a0 identify top 10 vertices based on in-degrees, identify top 100 vertices based on their out-degrees, count the number of cliques in the Graph, identify number of disconnected subgraphs.<br \/><\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=583\">List 5: Centrality-PageRank-Betweenness<\/a><\/li>\n\n\n\n<li>For a Graph\/graph-dataset such as political blogs (see example dataset section), implement Vertex Betweenness, Edge Betweenness, Closeness Centrality.<br \/><br \/>Implement Page ranking Algorithms such as HITS and Anchor\/Hubs<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"http:\/\/sitestree.com\/training\/course\/view.php?id=112#section-28\">Potential Project Ideas<\/a>\n<ul class=\"wp-block-list\">\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=561\">List 1: Project Ideas with real life applicationsPage<\/a><\/li>\n\n\n\n<li>From: https:\/\/cs.stanford.edu\/people\/jure\/talks\/www08tutorial\/, you need to find datasets to implement these ideas. Check the above URLs for DataSets (I did not check yet)<br \/><br \/><strong>Part 4: Case studies<\/strong><ul><li>Communication patterns of MSN Messenger. The application of above mentioned tools and algorithms to a large network of communication on MSN Instant Messenger (30 billion conversations, 240 million people).<\/li><\/ul>\n<ul class=\"wp-block-list\">\n<li>Detecting fraud on eBay. How to find fraudulent people on eBay. We present a belief propagation method that is able to find fraudulent people in large networks.<\/li>\n\n\n\n<li>Monitoring social and communication networks over time &#8212; intrusion and outlier detection. An application of tensor decomposition techniques to monitor multiple time series over time and detect outliers and abnormal events<\/li>\n\n\n\n<li>Web projections. Exploiting the structure of web graph to predict the quality of search results, user intention to reformulate queries and to find spam search results.<\/li>\n\n\n\n<li>Connection subgraphs and CenterPiece subgraphs.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=585\">List 2: Check the Data Science Competitions to get Project IdeasPage<\/a><\/li>\n\n\n\n<li>Click above and Check the Data Science Competitions to get Project Ideas. For example, can you map current dengue spread into a graph, and predict the path for how the disease will spread?<\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=586\">List 3: Take a Google Function Area in Graph Mining and Apply on Very Large Graphs and see what insight you can getPage<\/a><\/li>\n\n\n\n<li>You can as well do research in any of these areas to improve the algorithms and performance as well as apply on new problems\/challenges.<strong>Google Job Areas:<\/strong>\u00a0Large-Scale Balanced Partitioning: Example Google Maps Driving Directions, Large-Scale Clustering:clustering graphs at Google scale, Large-Scale Connected Components, Large-Scale Link Modeling: similarity ranking and centrality metrics:\u00a0 link prediction and anomalous link discovery., Large-Scale Similarity Ranking: Personalized PageRank, Egonet similarity, Adamic Adar, and others, Public-private Graph Computation, Streaming and Dynamic Graph Algorithms, ASYMP: Async Message Passing Graph Mining, Large-Scale Centrality Ranking, Large-Scale Graph Building<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"http:\/\/sitestree.com\/training\/course\/view.php?id=112#section-29\">Potential Research Topics<\/a>\n<ul class=\"wp-block-list\">\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/page\/view.php?id=587\">List 1: Research on Google Job\/Function areas in Graph MiningPage<\/a><\/li>\n\n\n\n<li>Take one of these Google job\/function areas in Graph Mining and improve the algorithms for performance as well as apply on new problems\/challenges.<strong>Google Job Areas:<\/strong>\u00a0Large-Scale Balanced Partitioning: Example Google Maps Driving Directions, Large-Scale Clustering:clustering graphs at Google scale, Large-Scale Connected Components, Large-Scale Link Modeling: similarity ranking and centrality metrics:\u00a0 link prediction and anomalous link discovery., Large-Scale Similarity Ranking: Personalized PageRank, Egonet similarity, Adamic Adar, and others, Public-private Graph Computation, Streaming and Dynamic Graph Algorithms, ASYMP: Async Message Passing Graph Mining, Large-Scale Centrality Ranking, Large-Scale Graph Building<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"http:\/\/sitestree.com\/training\/course\/view.php?id=112#section-30\">Example Projects in Graph Mining<\/a>\n<ul class=\"wp-block-list\">\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=588\">My Implementation: Louvian Algorithm for Community Detection in Large Graph NetworksURL<\/a><\/li>\n\n\n\n<li>https:\/\/github.com\/sayedum\/spark-implementation-louvian-modularity.git.<br \/>This is a private repository. I might give access to it to selected participants. You have to request for it. I need to know what will you do with it. This utilized PySpark, Spark GraphFrames on Hadoop Platforms. There is a non-spark, non-parallel, Python implementation as well. With some extensions and trying to answer the right question &#8211; this has the potential to become a research publication as well.<\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=589\">GraphX Implementation of Louvian Modularity Algorithm for Community DetectionURL<\/a><\/li>\n\n\n\n<li>https:\/\/github.com\/Sotera\/spark-distributed-louvain-modularity.Not my implementation. GraphX is kind of older than GraphFrame.<\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=590\">PageRank Algorithm ImplementationURL<\/a><\/li>\n\n\n\n<li>https:\/\/www.geeksforgeeks.org\/page-rank-algorithm-implementation\/ . Not my implementation. I might share code blocks from my implementation.<\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=591\">Centrality and Betweenness or similar concept implementation.URL<\/a><\/li>\n\n\n\n<li>https:\/\/www.geeksforgeeks.org\/betweenness-centrality-centrality-measure\/However, it will be the best, first you try to implement on your own. Better that you just don&#8217;t memorize; however, try to earn the capability to convert textual concept\/algorithm (mathematics) into code.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul id=\"yui_3_17_2_1_1616376904375_280\" class=\"wp-block-list\">\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=592\">Dijkstra\u2019s shortest path algorithmURL<\/a><\/li>\n\n\n\n<li>https:\/\/www.geeksforgeeks.org\/dijkstras-shortest-path-algorithm-greedy-algo-7\/<\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=593\">Floyd Warshall Algorithm | All pair Shortest PathURL<\/a><\/li>\n\n\n\n<li>https:\/\/www.geeksforgeeks.org\/floyd-warshall-algorithm-dp-16\/<\/li>\n\n\n\n<li><a class=\"\" href=\"http:\/\/sitestree.com\/training\/mod\/url\/view.php?id=594\">Karger&#8217;s mincut algorithm in PythonURL<\/a><\/li>\n\n\n\n<li>Details: http:\/\/goatleaps.xyz\/programming\/kargers-algorithm.html Code File: http:\/\/goatleaps.xyz\/assets\/code\/kargers_mincut.py<\/li>\n<\/ul>\n\n\n\n<p><em><strong>Shop <\/strong><\/em> <em><strong>Online:&nbsp;<\/strong><\/em><a href=\"http:\/\/www.shopforsoul.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.ShopForSoul.com\/<\/a><\/p>\n\n\n\n<p><em><strong>8112223 Canada Inc.\/JustEtc<\/strong>: <a href=\"http:\/\/justetc.net\/\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/JustEtc.net<\/a><\/em><\/p>\n\n\n\n<p><em><strong>Linkedin<\/strong>: <a href=\"https:\/\/ca.linkedin.com\/in\/sayedjustetc\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/ca.linkedin.com\/in\/sayedjustetc<\/a><\/em><\/p>\n\n\n\n<p><em><strong><em><strong>Courses:&nbsp;<\/strong><a href=\"http:\/\/training.sitestree.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/Training.SitesTree.com<\/a>&nbsp;(Big Data, Cloud, Security, Machine Learning)<\/em><\/strong><\/em><\/p>\n\n\n\n<p><em><strong>Blog<\/strong>:&nbsp;<a href=\"http:\/\/bangla.salearningschool.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/Bangla.SaLearningSchool.com<\/a>,&nbsp;<a href=\"http:\/\/sitestree.com\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/SitesTree.com<\/a><\/em><\/p>\n\n\n\n<p><strong>Medium<\/strong>:&nbsp;<a href=\"https:\/\/medium.com\/@SayedAhmedCanada\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/medium.com\/@SayedAhmedCanada<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Graph Mining: Misc. Topics to Learn: Misc. Resources to Learn From Shop Online:&nbsp;https:\/\/www.ShopForSoul.com\/ 8112223 Canada Inc.\/JustEtc: http:\/\/JustEtc.net Linkedin: https:\/\/ca.linkedin.com\/in\/sayedjustetc Courses:&nbsp;http:\/\/Training.SitesTree.com&nbsp;(Big Data, Cloud, Security, Machine Learning) Blog:&nbsp;http:\/\/Bangla.SaLearningSchool.com,&nbsp;http:\/\/SitesTree.com Medium:&nbsp;https:\/\/medium.com\/@SayedAhmedCanada<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1905],"tags":[],"class_list":["post-22891","post","type-post","status-publish","format-standard","hentry","category-graph-mining","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":22871,"url":"http:\/\/bangla.sitestree.com\/?p=22871","url_meta":{"origin":22891,"position":0},"title":"Graph Mining: Possible Course Topics","author":"Sayed","date":"March 21, 2021","format":false,"excerpt":"Course Topics Graph Theory Introduction,\u00a0Graph Mining Introduction,\u00a0Network Properties, Random Graphs, Small World Graphs,\u00a0Node Importance,\u00a0Node Similarity,\u00a0Clustering & Community Detection,\u00a0Link Prediction,\u00a0Anomaly detection,\u00a0Time Evolving Graphs,\u00a0Influence\/Virus Propagation,\u00a0Graph Mining Use Cases,\u00a0Big Data Graph Databases,\u00a0Big Data Graph ProcessingLast modified: Wednesday, 23 October 2019, 12:44 PM Shop Online:\u00a0https:\/\/www.ShopForSoul.com\/ 8112223 Canada Inc.\/JustEtc: http:\/\/JustEtc.net Linkedin: https:\/\/ca.linkedin.com\/in\/sayedjustetc Courses:\u00a0http:\/\/Training.SitesTree.com\u00a0(Big Data, Cloud,\u2026","rel":"","context":"In &quot;Graph Mining&quot;","block_context":{"text":"Graph Mining","link":"http:\/\/bangla.sitestree.com\/?cat=1905"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":22877,"url":"http:\/\/bangla.sitestree.com\/?p=22877","url_meta":{"origin":22891,"position":1},"title":"Graph Mining: Resources to Learn From","author":"Sayed","date":"March 21, 2021","format":false,"excerpt":"Resources to Learn From Resources to Learn From Resources:Graph mining - lesson 1: Introduction to graphs and networksNathalie Vialaneixhttp:\/\/www.nathalievialaneix.eu\/teaching\/m2se\/M2SE-network_1.pdfphpFox Features: Start your own Social Networkhttps:\/\/www.phpfox.com\/features\/Bipartite graphhttps:\/\/en.wikipedia.org\/wiki\/Bipartite_graphTree (data structure)https:\/\/en.wikipedia.org\/wiki\/Tree_(data_structure)Tree structurehttps:\/\/en.wikipedia.org\/wiki\/Tree_structureSigned graphhttps:\/\/en.wikipedia.org\/wiki\/Signed_graphGene regulatory networkhttps:\/\/en.wikipedia.org\/wiki\/Gene_regulatory_networkDynamic Influence Analysis in Evolving Networks (VLDB'16)https:\/\/www.slideshare.net\/todo314\/dynamic-influence-analysis-in-evolving-networks-vldb16Introduction to Graph Theoryhttps:\/\/www.csc2.ncsu.edu\/faculty\/nfsamato\/practical-graph-mining-with-R\/slides\/ppt\/Introduction_to_Graph_Theory.pptGraph and its representationshttps:\/\/www.geeksforgeeks.org\/graph-and-its-representations\/Representing graphshttps:\/\/www.khanacademy.org\/computing\/computer-science\/algorithms\/graph-representation\/a\/representing-graphshttps:\/\/www.geeksforgeeks.org\/graph-and-its-representations\/ Shop Online:\u00a0https:\/\/www.ShopForSoul.com\/ 8112223 Canada Inc.\/JustEtc:\u2026","rel":"","context":"In &quot;Graph Mining&quot;","block_context":{"text":"Graph Mining","link":"http:\/\/bangla.sitestree.com\/?cat=1905"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16673,"url":"http:\/\/bangla.sitestree.com\/?p=16673","url_meta":{"origin":22891,"position":2},"title":"Industry Job Prospect for Graph Mining","author":"Sayed","date":"January 21, 2020","format":false,"excerpt":"Industry Job Prospect for Graph Mining Sample Jobs https:\/\/www.careerbuilder.com\/jobs-graph-mining https:\/\/www.indeed.com\/q-Graph-Mining-jobs.html For example, Google works in the following areas of Graph Mining. Google has jobs for such. Also, Facebook and any other social networking site will have jobs in relation to Graph Mining. Computational Biology, Medicine Research, Drug Discovery, Disease Diagnosis,\u2026","rel":"","context":"In &quot;AI ML DS RL DL NN NLP Data Mining Optimization&quot;","block_context":{"text":"AI ML DS RL DL NN NLP Data Mining Optimization","link":"http:\/\/bangla.sitestree.com\/?cat=1910"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":22873,"url":"http:\/\/bangla.sitestree.com\/?p=22873","url_meta":{"origin":22891,"position":3},"title":"Graph Mining: Learning Resources","author":"Sayed","date":"March 21, 2021","format":false,"excerpt":"Resources: Public URLs Graph Mining: Introducing Graphs: Learn by finding answers to the following questions?\u00a0http:\/\/bangla.salearningschool.com\/recent-posts\/graph-mining-introducing-graphs-learn-by-finding-answers-to-the-following-questions\/ Graph Mining: What is Graph Mining? Learn by finding answers to the following questions. Can you answer the following questions?\u00a0http:\/\/bangla.salearningschool.com\/recent-posts\/graph-mining-what-is-graph-mining-learn-by-finding-answers-to-the-following-questions-can-you-answer-the-following-questions\/ Graph Mining: Shared Nearest Neighbors : Clustering : Community Detection.\u00a0http:\/\/bangla.salearningschool.com\/recent-posts\/graph-mining-shared-nearest-neighbors-clustering-community-detection\/ Graph Mining: Betweenness Based Clustering:\u2026","rel":"","context":"In &quot;Graph Mining&quot;","block_context":{"text":"Graph Mining","link":"http:\/\/bangla.sitestree.com\/?cat=1905"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16311,"url":"http:\/\/bangla.sitestree.com\/?p=16311","url_meta":{"origin":22891,"position":4},"title":"Graph Mining: What is Graph Mining? Learn by finding answers to the following questions. Can you answer the following questions?","author":"Sayed","date":"October 9, 2019","format":false,"excerpt":"Graph Mining: What is Graph Mining? Learn by finding answers to the following questions. Can you answer the following questions? What is Graph Mining? What is a Graph anyway? Is Graph mining just a kind of Machine Learning? i.e. is Machine Learning the only primary component of Graph Mining? Does\u2026","rel":"","context":"In &quot;AI ML DS RL DL NN NLP Data Mining Optimization&quot;","block_context":{"text":"AI ML DS RL DL NN NLP Data Mining Optimization","link":"http:\/\/bangla.sitestree.com\/?cat=1910"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16333,"url":"http:\/\/bangla.sitestree.com\/?p=16333","url_meta":{"origin":22891,"position":5},"title":"Join a Graph Mining Course","author":"Sayed","date":"October 23, 2019","format":false,"excerpt":"If you are interested to get access to a course (under development) on Graph Mining (Part of AI\/Data Science\/Analytics\/ML), please request using the following Google Form (or just inform us your email in a way so that we can give you access): https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSerGzkN9WlWW6SyDwaV-zdcYuSpXXODk9JIBTp7--EA_WTUCg\/viewform?usp=sf_link Or use the event to show your\u2026","rel":"","context":"In &quot;AI ML DS RL DL NN NLP Data Mining Optimization&quot;","block_context":{"text":"AI ML DS RL DL NN NLP Data Mining Optimization","link":"http:\/\/bangla.sitestree.com\/?cat=1910"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/22891","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=22891"}],"version-history":[{"count":4,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/22891\/revisions"}],"predecessor-version":[{"id":76271,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/22891\/revisions\/76271"}],"wp:attachment":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=22891"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=22891"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=22891"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}