casflow | CasFlow : Exploring Hierarchical Structures | Machine Learning library
kandi X-RAY | casflow Summary
kandi X-RAY | casflow Summary
casflow is a Python library typically used in Artificial Intelligence, Machine Learning, Pytorch applications. casflow 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.
This repo provides a reference implementation of CasFlow as described in the paper:. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu, and Goce Trajcevski IEEE Transactions on Knowledge and Data Engineering (TKDE), 14 pages, 2021.
This repo provides a reference implementation of CasFlow as described in the paper:. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu, and Goce Trajcevski IEEE Transactions on Knowledge and Data Engineering (TKDE), 14 pages, 2021.
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casflow has a low active ecosystem.
It has 18 star(s) with 7 fork(s). There are 3 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 5 have been closed. On average issues are closed in 0 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of casflow is v1.0
Quality
casflow has no bugs reported.
Security
casflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
casflow is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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casflow releases are available to install and integrate.
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 casflow and discovered the below as its top functions. This is intended to give you an instant insight into casflow implemented functionality, and help decide if they suit your requirements.
- Write the cascade to a file
- Compute the heat diffusion for a graph
- R Compute the graph wave function
- Calculate the cosine function of a function
- Compute the Cheb polynomials of the cheb coefficients
- Compute laplacian
- Calculate the coefficient of a multiscale heat map
- Performs pre - factorization
- Generate a random embedding matrix
- Generate cascades
- Generate a networkx graph from a file
- Reads the graph from a sequence file
- Calculates the nf - th transformations of a tensorflow layer
- Read labels from a file
Get all kandi verified functions for this library.
casflow Key Features
No Key Features are available at this moment for casflow.
casflow Examples and Code Snippets
No Code Snippets are available at this moment for casflow.
Community Discussions
Trending Discussions on casflow
QUESTION
How to sum_if on vectors in R
Asked 2018-Jul-11 at 07:16
I have a dataframe with casflows
...ANSWER
Answered 2018-Jul-11 at 07:16You can iterate the calculation over df2$dni
, using e.g. sapply for convenient output.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install casflow
You can download it from GitHub.
You can use casflow 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.
You can use casflow 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 questions please open an issue or drop an email to: xovee at ieee.org.
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