图 书 馆
PReP：异构信息网络中概率视角的基于路径的相关性PReP: PathBased Relevance from a Probabilistic Perspective in Heterogeneous Information Networks |
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| 课程网址: | http://videolectures.net/kdd2017_shi_information_networks/ |
| 主讲教师: | 于石 |
| 开课单位: | 伊利诺伊大学 |
| 开课时间: | 2017-10-09 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | As a powerful representation paradigm for networked and multi-typed data, the heterogeneous information network (HIN) is ubiquitous. Meanwhile, defining proper relevance measures has always been a fundamental problem and of great pragmatic importance for network mining tasks. Inspired by our probabilistic interpretation of existing path-based relevance measures, we propose to study HIN relevance from a probabilistic perspective. We also identify, from real-world data, and propose to model cross-meta-path synergy, which is a characteristic important for defining path-based HIN relevance and has not been modeled by existing methods. A generative model is established to derive a novel path-based relevance measure, which is data-driven and tailored for each HIN. We develop an inference algorithm to find the maximum a posteriori (MAP) estimate of the model parameters, which entails non-trivial tricks. Experiments on two real-world datasets demonstrate the effectiveness of the proposed model and relevance measure. |
| 关 键 词: | 异构信息网络; 网络挖掘; 数据科学 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-12-26：wujk |
| 最后编审: | 2023-12-26：wujk |
| 阅读次数: | 24 |