001 Part 1 Introduction to graphs.mp4 (7.55 MB)
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002 Chapter 1 Graphs and network science An introduction.mp4 (37.32 MB)
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003 Chapter 1 How to spot a graph-shaped problem.mp4 (20.17 MB)
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004 Chapter 1 Summary.mp4 (5.6 MB)
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005 Chapter 2 Representing network structure Designing your first graph model.mp4 (37.87 MB)
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006 Chapter 2 Network representations.mp4 (19.41 MB)
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007 Chapter 2 Designing your first labeled-property graph model.mp4 (55.91 MB)
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008 Chapter 2 Extracting knowledge from text.mp4 (42.39 MB)
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009 Chapter 2 Summary.mp4 (7.01 MB)
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010 Part 2 Network analysis.mp4 (5.57 MB)
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011 Chapter 3 Your first steps with Cypher query language.mp4 (96.99 MB)
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012 Chapter 3 Importing CSV files with Cypher.mp4 (54.51 MB)
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013 Chapter 3 Solutions to exercises.mp4 (4.81 MB)
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014 Chapter 3 Summary.mp4 (7.62 MB)
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015 Chapter 4 Exploratory graph analysis.mp4 (11.86 MB)
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016 Chapter 4 Aggregating data with Cypher query language.mp4 (37.08 MB)
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017 Chapter 4 Filtering graph patterns.mp4 (24.34 MB)
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018 Chapter 4 Counting subqueries.mp4 (5.2 MB)
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019 Chapter 4 Multiple aggregations in sequence.mp4 (12.83 MB)
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020 Chapter 4 Solutions to exercises.mp4 (4.62 MB)
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021 Chapter 4 Summary.mp4 (5.21 MB)
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022 Chapter 5 Introduction to social network analysis.mp4 (57.01 MB)
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023 Chapter 5 Introduction to the Neo4j Graph Data Science library.mp4 (15.8 MB)
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024 Chapter 5 Network characterization.mp4 (56.47 MB)
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025 Chapter 5 Identifying central nodes.mp4 (37.46 MB)
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026 Chapter 5 Solutions to exercises.mp4 (3.27 MB)
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027 Chapter 5 Summary.mp4 (8.98 MB)
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028 Chapter 6 Projecting monopartite networks.mp4 (53.56 MB)
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029 Chapter 6 Retweet network characterization.mp4 (28.37 MB)
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030 Chapter 6 Identifying the most influential content creators.mp4 (13.52 MB)
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031 Chapter 6 Solutions to exercises.mp4 (2.96 MB)
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032 Chapter 6 Summary.mp4 (5.94 MB)
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033 Chapter 7 Inferring co-occurrence networks based on bipartite networks.mp4 (71.34 MB)
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034 Chapter 7 Constructing the co-occurrence network.mp4 (56.77 MB)
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035 Chapter 7 Characterization of the co-occurrence network.mp4 (11.29 MB)
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036 Chapter 7 Community detection with the label propagation algorithm.mp4 (15.33 MB)
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037 Chapter 7 Identifying community representatives with PageRank.mp4 (15.38 MB)
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038 Chapter 7 Solutions to exercises.mp4 (2.09 MB)
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039 Chapter 7 Summary.mp4 (8.48 MB)
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040 Chapter 8 Constructing a nearest neighbor similarity network.mp4 (62.76 MB)
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041 Chapter 8 Constructing the nearest neighbor graph.mp4 (19.95 MB)
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042 Chapter 8 User segmentation with the community detection algorithm.mp4 (10.24 MB)
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043 Chapter 8 Solutions to exercises.mp4 (3.34 MB)
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044 Chapter 8 Summary.mp4 (5.28 MB)
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045 Part 3 Graph machine learning.mp4 (6.7 MB)
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046 Chapter 9 Node embeddings and classification.mp4 (33.87 MB)
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047 Chapter 9 Node classification task.mp4 (27.75 MB)
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048 Chapter 9 The node2vec algorithm.mp4 (60.81 MB)
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049 Chapter 9 Solutions to exercises.mp4 (416.48 KB)
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050 Chapter 9 Summary.mp4 (4.88 MB)
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051 Chapter 10 Link prediction.mp4 (34.42 MB)
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052 Chapter 10 Dataset split.mp4 (46.12 MB)
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053 Chapter 10 Network feature engineering.mp4 (43.15 MB)
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054 Chapter 10 Link prediction classification model.mp4 (20.6 MB)
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055 Chapter 10 Solutions to exercises.mp4 (2.09 MB)
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056 Chapter 10 Summary.mp4 (10.16 MB)
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057 Chapter 11 Knowledge graph completion.mp4 (37.59 MB)
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058 Chapter 11 Knowledge graph completion.mp4 (40.53 MB)
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059 Chapter 11 Solutions to exercises.mp4 (1.09 MB)
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060 Chapter 11 Summary.mp4 (5.93 MB)
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061 Chapter 12 Constructing a graph using natural language processing techniques.mp4 (25.62 MB)
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062 Chapter 12 Named entity recognition.mp4 (8.76 MB)
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063 Chapter 12 Relation extraction.mp4 (5.54 MB)
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064 Chapter 12 Implementation of information extraction pipeline.mp4 (37.54 MB)
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065 Chapter 12 Solutions to exercises.mp4 (1.64 MB)
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066 Chapter 12 Summary.mp4 (5.3 MB)
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067 Appendix The Neo4j environment.mp4 (12.61 MB)
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068 Appendix Neo4j installation.mp4 (8.73 MB)
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069 Appendix Neo4j Browser configuration.mp4 (1004.9 KB)
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