From: Time-varying graph representation learning via higher-order skip-gram with negative sampling
Model | Operator | Dataset | |||
---|---|---|---|---|---|
OpenABM-2k-100 | OpenABM-5k-20 | ||||
Reconstruction | Prediction | Reconstruction | Prediction | ||
DyANE | Average | 52.2 ± 0.1 | 51.7 ± 0.1 | 51.9 ± 0.1 | 51.9 ± 0.1 |
Hadamard | \(\underline{76.4}\pm 0.1\) | \(\underline{72.4}\pm 0.2\) | \(\underline{\mathbf{90}}\boldsymbol{.}\mathbf{5}\pm \mathbf{0}\boldsymbol{.}\mathbf{3}\) | \(\underline{77.8}\pm 0.2\) | |
Weighted-L1 | 70.3 ± 0.1 | 67.4 ± 0.2 | 78.2 ± 0.7 | 70.5 ± 0.3 | |
Weighted-L2 | 70.3 ± 0.1 | 67.7 ± 0.1 | 78.8 ± 0.5 | 70.9 ± 0.3 | |
Concat | 53.8 ± 0.1 | 54.6 ± 0.1 | 52.5 ± 0.1 | 52.5 ± 0.2 | |
\(\text{HOSGNS} ^{(\text{stat})}\) | Hadamard | 91.1 ± 0.1 | 87.0 ± 0.1 | 98.7 ± 0.1 | 86.0 ± 0.1 |
\(\text{HOSGNS} ^{(\text{dyn})}\) | Hadamard | 78.7 ± 0.1 | 79.8 ± 0.2 | 82.8 ± 0.3 | 82.4 ± 0.2 |