图 书 馆
通过邻域形成嵌入时态网络Embedding Temporal Network via Neighborhood Formation |
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| 课程网址: | http://videolectures.net/kdd2018_zuo_neighborhood_formation/ |
| 主讲教师: | Yuan Zuo |
| 开课单位: | BeiHang University |
| 开课时间: | 2018-11-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Given the rich real-life applications of network mining as well as the surge of representation learning in recent years, network embedding has become the focal point of increasing research interests in both academic and industrial domains. Nevertheless, the complete temporal formation process of networks characterized by sequential interactive events between nodes has yet seldom been modeled in the existing studies, which calls for further research on the so-called temporal network embedding problem. In light of this, in this paper, we introduce the concept of neighborhood formation sequence to describe the evolution of a node, where temporal excitation effects exist between neighbors in the sequence, and thus we propose a Hawkes process based Temporal Network Embedding (HTNE) method. HTNE well integrates the Hawkes process into network embedding so as to capture the influence of historical neighbors on the current neighbors. In particular, the interactions of low-dimensional vectors are fed into the Hawkes process as base rate and temporal influence, respectively. In addition, attention mechanism is also integrated into HTNE to better determine the influence of historical neighbors on current neighbors of a node. Experiments on three large-scale real-life networks demonstrate that the embeddings learned from the proposed HTNE model achieve better performance than state-of-the-art methods in various tasks including node classification, link prediction, and embedding visualization. In particular, temporal recommendation based on arrival. |
| 关 键 词: | 网络嵌入; 邻域; 建模 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-11-01：chenjy |
| 最后编审: | 2022-11-01：chenjy |
| 阅读次数: | 30 |