Search Results for author: Baojie Song

Found 4 papers, 3 papers with code

RF-GNN: Random Forest Boosted Graph Neural Network for Social Bot Detection

1 code implementation14 Apr 2023 Shuhao Shi, Kai Qiao, Jie Yang, Baojie Song, Jian Chen, Bin Yan

This paper proposes a Random Forest boosted Graph Neural Network for social bot detection, called RF-GNN, which employs graph neural networks (GNNs) as the base classifiers to construct a random forest, effectively combining the advantages of ensemble learning and GNNs to improve the accuracy and robustness of the model.

Ensemble Learning feature selection +1

Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection

1 code implementation14 Feb 2023 Shuhao Shi, Kai Qiao, Jie Yang, Baojie Song, Jian Chen, Bin Yan

The proposed framework is evaluated using three real-world bot detection benchmark datasets, and it consistently exhibits superiority over the baselines.

MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark

1 code implementation3 Jan 2023 Shuhao Shi, Kai Qiao, Jian Chen, Shuai Yang, Jie Yang, Baojie Song, Linyuan Wang, Bin Yan

However, in addition to low annotation quality, existing benchmarks generally have incomplete user relationships, suppressing graph-based account detection research.

Node Classification Stance Detection +1

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