Table 2. Overall prediction performance.
| Datasets | Weibo dataset | APS dataset | ||
|---|---|---|---|---|
| Metric | MSLE | mSLE | MSLE | mSLE |
| Features-deep | 3.450 | 1.084 | 2.195 | 0.845 |
| Features-linear | 3.282 | 0.971 | 1.752 | 0.796 |
| LIS | 3.497 | 1.476 | 2.486 | 0.938 |
| DeepCas | 2.773 | 0.868 | 1.804 | 0.732 |
| DeepHawkes | 2.604 | 0.816 | 1.363 | 0.688 |
| CasCN | 2.593 | 0.798 | 1.348 | 0.652 |
| CasTCN | 2.581 | 0.746 | 1.319 | 0.633 |
| STDNN | 2.530 | 0.679 | 1.250 | 0.607 |
Notes.
Results for the proposed model are shown in bold.