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mneedham committed Jul 28, 2020
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:author: Mark Needham
:category: graph-data-science
:tags: graph-data-science, graph-algorithms, community-detection, clustering
:description: This guide covers community detection algorithms in the Neo4j Data Science Library, like Louvain, Label Propagation, Weakly Connected Components, and more.

.Goals
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:author: Mark Needham
:category: graph-data-science
:tags: graph-data-science, graph-algorithms, graph-embeddings, machine-learning
:description: This guide covers graph embeddings in the Neo4j Data Science Library, like node2Vec, GraphSAGE, and Random Projection.

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:category: graph-data-science
:tags: graph-data-science, graph-algorithms, graph-embeddings, machine-learning
:gds-version: 1.3-preview
:description: This guide provides a hands on walk through of the node2Vec graph embedding algorithm in the Neo4j Data Science Library.

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:author: Mark Needham
:category: graph-data-science
:tags: graph-data-science, graph-algorithms, graph-search, bfs, dfs
:description: This guide covers the graph search algorithms in the Neo4j Data Science Library, Breadth First Search (BFS) and Depth First Search (DFS).

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:author: Mark Needham
:category: graph-data-science
:tags: graph-platform, nlp, tools, similarity, apoc, graphaware, analytics, search, recommendations, labs
:description: This guide explains the available tools for doing Natural Language Processing (NLP) with Neo4j.

Neo4j offers powerful querying capabilities for structured data, but a lot of the world's data exists in text documents.
NLP techniques can help to extract the latent structure in these documents.
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:author: Mark Needham
:category: graph-data-science
:tags: graph-data-science, graph-algorithms, graph-search, path-finding, shortest-path
:description: This guide covers path finding algorithms in the Neo4j Data Science Library, like Shortest Path, A*, All-Pairs Shortest Path, and more.

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