Feb 23, 2023 · We propose a Semantic-Fused Multi-Granularity Transfer Learning (SFMGTL) model to achieve knowledge transfer across cities with fused semantics at different ...
Feb 23, 2023 · In this paper, we propose Semantic-Fused Hierarchical Graph Transfer Learning (SF-HGTL) model to achieve knowledge transfer across cities with ...
In this paper, we propose Semantic-Fused Hierarchical Graph Transfer Learning (SF-HGTL) model to achieve knowledge transfer across cities with fused semantics.
We propose a Semantic-Fused Multi-Granularity Transfer Learning (SFMGTL) model to achieve knowledge transfer across cities with fused semantics at different ...
To address this issue, we propose a Semantic-Fused Multi-Granularity Transfer Learning (SFMGTL) model to achieve knowledge transfer across cities with fused ...
为了解决这个问题，我们可以通过迁移学习将元知识从数据丰富的城市提取到数据稀缺的城市。此外，城市区域之间的关系可以组织成各种语义图，例如接近度和POI ...
Semantic-fused multi-granularity cross-city traffic prediction. K Chen, Y Liang, J Han, S Feng, M Zhu, H Yang. Transportation Research Part C: Emerging ...
May 3, 2024 · Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. Conference Paper.
Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting. ... Ying, Hierarchical graph representation learning ...
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