Peer influence probability learning on Hateful
646Regret_TTakemura et al.
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Takemura et al.Method Category=Bandit Models (CMAB), Edge Selection Strategy=neighbor-based2025.10 | 646 | 0.0114 | |
| InfluenceCBMethod Category=Ours: InfluenceCB, Edge Selection Strategy=neighbor-based, beta=0.25, Optimization Objective=Regret2025.10 | 1,049 | 0.0108 | |
| LinUCBMethod Category=Bandit Models (CMAB), Edge Selection Strategy=neighbor-based2025.10 | 1,057 | 0.0107 | |
| InfluenceCBMethod Category=Ours: InfluenceCB, Edge Selection Strategy=neighbor-based, beta=0.25, Optimization Objective=RMSE2025.10 | 1,688 | 0.0105 | |
| SGDExploitMethod Category=Online Learning, Edge Selection Strategy=neighbor-based2025.10 | 2,612 | 0.0536 | |
| Takemura et al.2025.10 | 2,829 | 0.0267 | |
| GNBMethod Category=Bandit Models (CMAB), Edge Selection Strategy=neighbor-based2025.10 | 4,267 | 0.0525 | |
| EENetMethod Category=Bandit Models (CMAB), Edge Selection Strategy=neighbor-based2025.10 | 5,418 | 0.0664 | |
| InfluenceCBMethod Category=Ours: InfluenceCB, Edge Selection Strategy=neighbor-based, beta=0.50, Optimization Objective=Regret2025.10 | 5,800 | 0.0102 | |
| InfluenceCBbeta=0.25, objective=Regret2025.10 | 5,917 | 0.016 | |
| LinUCB2025.10 | 5,979 | 0.0156 | |
| SOTA Recommender (ContextGNN)Method Category=Static Models, Edge Selection Strategy=neighbor-based2025.10 | 6,236 | 0.355 | |
| Link Prediction (NCNC)Method Category=Static Models, Edge Selection Strategy=neighbor-based2025.10 | 6,634 | 0.412 | |
| Link Prediction (Ridge)Method Category=Static Models, Edge Selection Strategy=neighbor-based2025.10 | 6,679 | 0.1848 | |
| GNB2025.10 | 8,669 | 0.0417 | |
| Link Prediction (GraphSAGE)Method Category=Static Models, Edge Selection Strategy=neighbor-based2025.10 | 8,792 | 0.447 | |
| SGDExploit2025.10 | 9,441 | 0.0924 | |
| SimilarityMethod Category=Static Models, Edge Selection Strategy=neighbor-based2025.10 | 9,588 | 0.4993 | |
| RandomMethod Category=Static Models, Edge Selection Strategy=neighbor-based2025.10 | 9,610 | 0.2981 | |
| SGDExploreMethod Category=Online Learning, Edge Selection Strategy=neighbor-based2025.10 | 9,615 | 0.05 | |
| EENet2025.10 | 9,635 | 0.0658 | |
| InfluenceCBMethod Category=Ours: InfluenceCB, Edge Selection Strategy=neighbor-based, beta=0.50, Optimization Objective=RMSE2025.10 | 10,095 | 0.0101 | |
| InfluenceCBbeta=0.25, objective=RMSE2025.10 | 13,179 | 0.0092 | |
| Link Prediction (NCNC)2025.10 | 39,850 | 0.412 | |
| SOTA Recommender (ContextGNN)2025.10 | 40,500 | 0.395 | |
| Link Prediction (GraphSAGE)2025.10 | 41,568 | 0.447 | |
| Link Prediction (Ridge)2025.10 | 42,384 | 0.1848 | |
| InfluenceCBbeta=0.50, objective=Regret2025.10 | 46,561 | 0.0062 | |
| Random2025.10 | 73,226 | 0.2981 | |
| SGDExplore2025.10 | 73,297 | 0.0433 | |
| InfluenceCBbeta=0.50, objective=RMSE2025.10 | 74,399 | 0.0061 | |
| Similarity2025.10 | 82,962 | 0.4993 |