se-kge | Gengchen Mai , Krzysztof Janowicz

by gengchenmai Python Version: Current License: Apache-2.0

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

kandi X-RAY | se-kge Summary

se-kge is a Python library. se-kge has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Gengchen Mai, Krzysztof Janowicz, Ling Cai, Rui Zhu, Blake Regalia, Bo Yan, Meilin Shi, Ni Lao. SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting. Transactions in GIS. DOI:10.1111/TGIS.12629

Support

Quality

Security

License

Reuse

Support

se-kge has a low active ecosystem.

It has 5 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of se-kge is current.

Quality

se-kge has no bugs reported.

Security

se-kge has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

se-kge is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

se-kge releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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

Top functions reviewed by kandi - BETA

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

Evaluate the SPA semverlift model
Evaluate a set of test_queries
Calculate perc_sem_lifts
Run eval_spa_sem_verifier on the model
Get spatial relation encoder
Compute spatial context
Create a 3 FeedForwardN
Get an encoder
Returns a PositionEncoder object
Calculate rbf anchor coordinates
Compute the forward computation
Load the edge data
Forward embedding
Compute the forward layer
Compute the embedding
Run train_spa_sem_lift on the model
Convert a tensor module into a list of features
Compute grid embedding
Forward forward computation
Create an argument parser
Convert coords to grid coordinates
Evaluate the model
Loads multiple edge query data
Compute embedding
Forward computation
Compute embedding for given nodes

Get all kandi verified functions for this library.

se-kge Key Features

No Key Features are available at this moment for se-kge.

se-kge Examples and Code Snippets

No Code Snippets are available at this moment for se-kge.

Community Discussions

No Community Discussions are available at this moment for se-kge.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install se-kge

You can download it from GitHub.
You can use se-kge 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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