A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characteristics, sequence features, and user profiles.

Last update: Apr 29, 2022

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Overview

CCasGNN

A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characteristics, sequence features, and user profiles.

Dataset

We publish the example of processed dataset. Each "list" represents the cascade information. It contains edges, features, nodes(the order of diffusion)

Downlowd link: https://drive.google.com/drive/folders/13k2yKJhRSgGOP9GSBJG7aTsS90JwG337?usp=sharing

The original dataset can be download at: https://www.aminer.cn/data-sna#Twitter-Dynamic-Net, https://www.aminer.cn/citation

Owner

GitHub Repository

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A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characteristics, sequence features, and user profiles.

Related tags

Overview

CCasGNN

Dataset

Owner

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