| 研究実績の概要 |
We have proposed new graph embedding approaches for 1) graphs containing missing features; 2) temporal knowledge graphs; 3) attributed graphs; 4) node ranking. Moreover, we applied graph embedding techniques for a real-world application of forecasting regional ambulance demand. In total, we have published seven papers, including two papers in top international conferences (CIKM2020, ICDE2021), two papers in top journals (ACM TKDD, FGCS), and another three papers in journals with impact factor (IEEE Access, Sensors, Computing).
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