notesum.ai
Published at December 10Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
cs.LG
cs.AI
Released Date: December 10, 2024
Authors: Junwei Su1, Shan Wu2
Aff.: 1University of Hong Kong; 2Hefei University of Technology

| Dataset | Wikipedia | MOOC | LastFM | GDELT | ||||||
| Model/Metric | VCS | AP(%) | VCS | AP(%) | VCS | AP(%) | VCS | AP(%) | VCS | AP(%) |
| TGN | 0.18±0.02 | 98.5±0.04 | 0.21±0.04 | 96.4±0.03 | 0.25±0.03 | 97.6±0.03 | 0.22±0.04 | 75.4±0.06 | 0.24±0.03 | 95.6±0.05 |
| TGN-VCA | 0.08±0.01 | 98.2±0.03 | 0.12±0.02 | 96.3±0.04 | 0.13±0.03 | 97.3±0.02 | 0.09±0.03 | 73.3±0.05 | 0.12±0.02 | 96.8±0.03 |
| Tiger | 0.23±0.01 | 97.5±0.08 | 0.23±0.03 | 94.8±0.06 | 0.30±0.02 | 95.1±0.04 | 0.23±0.03 | 77.7±0.05 | 0.23±0.03 | 97.5±0.03 |
| Tiger-VCA | 0.10±0.01 | 98.0±0.06 | 0.11±0.02 | 94.0±0.06 | 0.11±0.01 | 95.6±0.03 | 0.12±0.02 | 78.0±0.04 | 0.11± 0.01 | 97.0±0.05 |
| JOIDE | 0.19±0.03 | 96.5±0.05 | 0.25±0.04 | 95.3±0.04 | 0.21±0.03 | 97.5±0.08 | 0.20±0.03 | 72.5±0.06 | 0.27±0.04 | 96.8±0.05 |
| JOIDE-VCA | 0.09±0.02 | 96.8±0.03 | 0.11±0.03 | 94.8±0.05 | 0.11±0.02 | 97.8±0.06 | 0.10±0.02 | 72.8±0.07 | 0.13±0.03 | 97.0±0.04 |
| DyRep | 0.25±0.03 | 96.7±0.06 | 0.22±0.04 | 94.8±0.03 | 0.23±0.03 | 96.8±0.06 | 0.27±0.03 | 69.5±0.05 | 0.24± 0.04 | 97.8±0.03 |
| DyRep-VCA | 0.11±0.02 | 97.0±0.05 | 0.10±0.03 | 95.0±0.04 | 0.12±0.02 | 97.0±0.05 | 0.12±0.01 | 70.0±0.06 | 0.14±0.03 | 97.5±0.04 |
| TCL | 0.12±0.02 | 95.5±0.02 | 0.11±0.02 | 91.6±0.06 | 0.14±0.03 | 93.5±0.07 | 0.14±0.03 | 68.5±0.07 | 0.14±0.03 | 94.6±0.06 |
| TCL-VCA | 0.09±0.02 | 95.2±0.02 | 0.06±0.01 | 92.2±0.06 | 0.10±0.02 | 92.8±0.05 | 0.09±0.01 | 67.5±0.03 | 0.10±0.0 | 95.2±0.06 |
| TGAT | 0.13±0.02 | 95.8±0.03 | 0.10±0.01 | 92.3±0.03 | 0.14±0.03 | 94.3±0.03 | 0.13±0.03 | 70.1±0.05 | 0.12±0.03 | 93.3±0.03 |
| TGAT-VCA | 0.10±0.02 | 96.0±0.02 | 0.08±0.01 | 93.0±0.04 | 0.07±0.02 | 95.0±0.05 | 0.06±0.01 | 71.3±0.06 | 0.09±0.02 | 93.0±0.04 |
| VCS | 0.09 | 0.09 | 0.1 | 0.1 | 0.09 | |||||