RumorDetection | Chunyuan Yuan , Qianwen Ma , Wei Zhou

by chunyuanY Python Version: Current License: No License

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

kandi X-RAY | RumorDetection Summary

RumorDetection is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. RumorDetection has no bugs, it has no vulnerabilities and it has low support. However RumorDetection build file is not available. You can download it from GitHub.

Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu. Jointly embedding the local and global relations of heterogeneous graph for rumor detection. In 19th IEEE International Conference on Data Mining, IEEE ICDM 2019.

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Quality

Security

License

Reuse

Support

RumorDetection has a low active ecosystem.

It has 57 star(s) with 20 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 6 have been closed. On average issues are closed in 16 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RumorDetection is current.

Quality

RumorDetection has no bugs reported.

Security

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

License

RumorDetection 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

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

RumorDetection 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.

Top functions reviewed by kandi - BETA

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

Fit the model
Calculate predictions for each prediction
Adjust the current learning rate of an optimizer
Evaluate the model
Perform the forward computation
Local attention network
Performs global graph encoding
Encoder for replies
Extracts a word embedding feature2vec
Build the input data
Build the embedding matrix
Build the word embedding_to_vec
Perform a forward attention
Feed the linear layer
Perform multi - head attention
Scaled dot product attention
Train and test the model
Load the dataset

Get all kandi verified functions for this library.

RumorDetection Key Features

No Key Features are available at this moment for RumorDetection.

RumorDetection Examples and Code Snippets

No Code Snippets are available at this moment for RumorDetection.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install RumorDetection

You can download it from GitHub.
You can use RumorDetection 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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