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This repository is the official PyTorch implementation of DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection (CIKM2023). https://dl.acm.org/doi/pdf/10.1145/3583780.3615237

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DCGNN

This repository is the official PyTorch implementation of DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection (CIKM2023). Details about this paper: https://dl.acm.org/doi/pdf/10.1145/3583780.3615237

The implementation part of BotRGCN refers to: https://github.com/BunsenFeng/BotRGCN .

Processed data of dataset TwiBot-22 can be downloaded through Google Drive link. After downloading, please extract the two folders inside to the DCGNN directory and run the train.py file for training.

Detailed preprocessing code has been uploaded.

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This repository is the official PyTorch implementation of DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection (CIKM2023). https://dl.acm.org/doi/pdf/10.1145/3583780.3615237

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