best graph database

Arangodb generating relationships through the collection of two documentFor M in meridiansFor P in acupointsFilter P.meridian = = M.displaynameInsert {_from:p._id, _to:m._id, property: "\"} in relations Import a CSV file exported from SQL database into Arangodb, one file per table #!/bin/sh # import CSV files data into Arangodb # which name is like: ' filename '. csv # noock Tian # 2 018-01-08 export csv_files= ' ls *.csv ' for F in $CSV _files d

This text connection: http://blog.csdn.net/freewebsys/article/details/46348975 reprint Please specify the source!1, about the graph databaseTinkerpop is a project under the Apache incubator.The open source graph database engine, the graph database uses most is neo4j, but has

Representative of the graph database: neo4j official website: http://neo4j.com/Introduction: Why use a graph databaseIn many new projects, the application of graph database is an imperative trend, because the graph

Label: Then the previous one, continue to introduce the graph database neo4j:http://www.cnblogs.com/rongyux/p/5537028.html Three Advanced Find operations 1 Filter name = "Tom Hanks" person MATCH (N:person) " Tom Hanks " RETURN N; Another way to do this: MATCH (N:person {name:"Tom Hanks"}) RETURN n; 2 sort order, restrict limit and skip skip Sort the output according to the actor's date of birth:

1. introduction Neo4j is a high-performance, non-relational, fully transactional, and robust graph database. When processing complex network data, neo4j has excellent performance [1] and is suitable for social networks, dynamic networks, and other scenarios. It is implemented based on the java language and has two distribution versions. the community version (communityversion) is licensed by GPLv3 in Git 1.

What is neo4j? 1. A high-performance graph relational model database 2. A nosql database 3. multiple types of support Programming Language 4. How can I delete nodes related to a node in neo4j, which is good at processing model data with multiple relationships? 1. Find all links of the target node 2. Start a transaction, delete the Start Node or end node3. traver

Read the $x from the database, $y, $z Why can't I generate a graph?

side is not present, increase the relationship: MATCH (Clint:person), (Mystic:movie) WHERE clint.name="Clint Eastwood" and mystic.title="mystic River " MERGE (Clint)-[:D irected]->(mystic) RETURN Clint, mystic; A more complicated example: Increased understanding knows relationship: A film actor and actor, actor or director, or director and Director may know: MATCH (a)-[:acted_in|:D Irected]-> () (b) WHERE not (a)-[:knows]-(b) MERGE (a)-[:knows]-> (b); 5 deleting nodes and edges Match (

Connect to Database The code is as follows Copy Code $errmsg = "";if (! @mysql tutorial _connect ("localhost", "root", "")) {$errmsg = "Cannot connect to database";}@mysql_select_db ("DB1");$q = CREATE TABLE Pix (PID int PRIMARY key NOT NULL auto_increment,Title text,Imgdata Longblob)CREATE;@mysql_query ($q); Insert any new image into

is a rising value, but when it reaches 1.0, it stops increasing. Suppose a PR (a) with an initial value of 40,b PR(B) has an initial value of 40//Initial valuePR (A) = +PR (B)= +//First IterationPR (A)=0.15+0.85* +=34.25PR (B)=0.15+0.85*0.385875=29.1775//Second IterationPR (A)=0.15+0.85*29.1775=24.950875PR (B)=0.15+0.85*24.950875=21.35824375//The result is declining , but when it reaches 1.0, it stops falling. Properties:When no node is in the PageRank, the calculated results conform to the nor

Graph Theory 3 bipartite graph matching, graph theory Bipartite Graph Matching You can learn http://www.renfei.org/blog/bipartite-matching.html here firstTemplate According to the above blog, the bipartite graph matching can be divided into four types Maximum number of match

The source text is not found. Please refer to the link below: Http://www.cnblogs.com/hiside/archive/2010/12/01/1893878.html Http://topic.csdn.net/u/20071023/11/3edb81fc-37b2-4506-906e-44dc0fc521f2.html1. undirected graph: Method 1: If a loop exists, a subgraph is a loop. Degrees of all vertices in the loop> = 2. N algorithm:Step 1: Delete all vertices with a degree Step 2: Enter the vertex whose degree is 1 into the queue and retrieve a vertex from th

Convert undirected graphs to point-to-double-connected graphsDefinition: Point-double connect refers to a path with at least two points that are not duplicated between any twoThere are two kinds of cases, one is connected graph, the other is non-connected graph① Connectivity DiagramFirst, find all the points in the graph-the two connected components, and then ind

. Kruskal algorithm-merging forests into trees Third, topological sortingTopological order : if there is a forward path from V to W in the diagram, V must precede w. The sequence of vertices that satisfy this condition is called a topological order.The process of obtaining a topological order is topological ordering .AOV (Activity on Vertex) If there is a reasonable topological order, it must be a directed acyclic graph (Directed acyclic

There are n schools under the OA for school enrollment, and each school needs to have relatively independent data management and statistics, When we use a line chart, we will show all the lines in its series. I believe that some network enterprise management programs will be used by friends! Graph:Reference content Demo: Test/lib/amline/amline.html Test/lib/amline/examples/amline1.html Test/lib/amline/examples/amline2.html Test/lib/amline/examples/amline3.html Test/lib/amline/examples/amline4.

[CUT graph] Cutting Method of irregular graph, cut Graph Link the selected two layers. In the future, you can drag the irregular image directly regardless of the selected two layers (select the layer and click the link icon below, you can connect the layers), for example: PS tips: Before clicking the picture to select a layer, remember to do the fo

Factor(A function/table) is the fitness of a combination of variables (the scope of the factor. In bn, factor is conditional probability distribution (CPD); but factor does not always correspond to a certain probability (of course, it is not necessarily 0 ~ 1), for example, in MRF. Similar to the operation of a database table, the basic operations on a factor include factor product, factor marginalization Factor Allocation ction. In practice, the mos