DeepPath | EMNLP paper DeepPath : A Reinforcement Learning Method | Graph Database library

by xwhan Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | DeepPath Summary

DeepPath is a Python library typically used in Database, Graph Database, Tensorflow applications. DeepPath has no bugs, it has no vulnerabilities and it has low support. However DeepPath build file is not available. You can download it from GitHub.

code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

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Quality

Security

License

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Support

DeepPath has a low active ecosystem.

It has 409 star(s) with 107 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 11 open issues and 9 have been closed. On average issues are closed in 38 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DeepPath is current.

Quality

DeepPath has 0 bugs and 0 code smells.

Security

DeepPath has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

DeepPath code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DeepPath does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

DeepPath releases are not available. You will need to build from source code and install.

DeepPath has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

DeepPath saves you 569 person hours of effort in developing the same functionality from scratch.

It has 1329 lines of code, 49 functions and 13 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed DeepPath and discovered the below as its top functions. This is intended to give you an instant insight into DeepPath implemented functionality, and help decide if they suit your requirements.

Train the model
Finds the paths between entity1 and entity2
Returns a list of random pairs between two entities
Return all paths from entity
Marks an entity as found
Returns the entity with the given entity
Add a relation between two entities
Recursively reconstruct the path between entity1 and entity2
Creates a bfs
Test the model
Interactively interactively
Runs prediction on the given state
Runs the training step
Compute the embedding for a given path
Return the state of the given indices
Clean a path
Restore policy
Perform reINFORCE
Probability norm

Get all kandi verified functions for this library.

DeepPath Key Features

No Key Features are available at this moment for DeepPath.

DeepPath Examples and Code Snippets

No Code Snippets are available at this moment for DeepPath.

Community Discussions

Trending Discussions on DeepPath

Override Typescript declaration type to declare static method on the Event class from the DOM

QUESTION

Override Typescript declaration type to declare static method on the Event class from the DOM

Asked 2018-Jul-18 at 12:46

In a web application written in Javascript, I allowed myself to "enhance" the Event "class" from the DOM by adding a "static method" (I'm using quotes because it is a very approximate description) using following code:

...

ANSWER

Answered 2018-Jul-17 at 16:47

Unfortunately there is no way to do this based on how the current definition of Event looks.

We can do this for Array for example because Array is declared as a variable of type ArrayContructor.

Source https://stackoverflow.com/questions/51386266

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install DeepPath

You can download it from GitHub.
You can use DeepPath like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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