基于图自监督对比学习的社交媒体谣言检测
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乔禹涵, 贾彩燕
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Rumor detection on social media based on graph contrastive self⁃supervised learning
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Yuhan Qiao, Caiyan Jia
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表5 不同训练数据规模下的实验结果
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Table 5 Experimental results with various scales of labeled training data
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数据集 | 模型 | 10% | 20% | 50% | 80% |
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准确率 | Δ | 准确率 | Δ | 准确率 | Δ | 准确率 | Δ |
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Twitter15 | UDGAT | 0.608 | — | 0.684 | — | 0.769 | — | 0.846 | — | RD⁃GCSL | 0.626 | ↑1.8% | 0.702 | ↑1.8% | 0.803 | ↑3.4% | 0.880 | ↑3.4% | Twitter16 | UDGAT | 0.594 | — | 0.723 | — | 0.820 | — | 0.871 | — | RD⁃GCSL | 0.626 | ↑3.2% | 0.743 | ↑2.0% | 0.838 | ↑1.8% | 0.889 | ↑1.8% | PHEME | UDGAT | 0.738 | — | 0.766 | — | 0.797 | — | 0.844 | — | RD⁃GCSL | 0.745 | ↑0.7% | 0.776 | ↑1.0% | 0.807 | ↑1.0% | 0.856 | ↑1.2% |
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