Social Relation Reasoning Based on Triangular Constraints | |
Guo, Yunfei3,4; Yin, Fei3,4; Feng, Wei3,4; Yan, Xudong1; Xue, Tao1; Mei, Shuqi1; Liu, Cheng-Lin2,3,4 | |
2023-06 | |
会议日期 | 2023年2月7日-14日 |
会议地点 | 美国华盛顿 |
卷号 | 37 |
期号 | 1 |
DOI | 10.1609/aaai.v37i1.25151 |
页码 | 737-745 |
英文摘要 | Social networks are essentially in a graph structure where persons act as nodes and the edges connecting nodes denote social relations. The prediction of social relations, therefore, relies on the context in graphs to model the higher-order constraints among relations, which has not been exploited sufficiently by previous works, however. In this paper, we formulate the paradigm of the higher-order constraints in social relations into triangular relational closed-loop structures, i.e., triangular constraints, and further introduce the triangular reasoning graph attention network (TRGAT). Our TRGAT employs the attention mechanism to aggregate features with triangular constraints in the graph, thereby exploiting the higher-order context to reason social relations iteratively. Besides, to acquire better feature representations of persons, we introduce node contrastive learning into relation reasoning. Experimental results show that our method outperforms existing approaches significantly, with higher accuracy and better consistency in generating social relation graphs. |
会议录出版者 | AAAI |
会议录出版地 | Menlo Park, CA |
语种 | 英语 |
URL标识 | 查看原文 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/57398] ![]() |
专题 | 自动化研究所_模式识别国家重点实验室_模式分析与学习团队 |
通讯作者 | Liu, Cheng-Lin |
作者单位 | 1.T Lab, Tencent Map, Tencent Technology (Beijing) Co., Ltd., Beijing 100193, China 2.CAS Center for Excellence of Brain Science and Intelligence Technology, Beijing 100190, China 3.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China 4.National Laboratory of Pattern Recognition (NLPR), Institute of Automation of Chinese Academy of Sciences, Beijing 100190, China |
推荐引用方式 GB/T 7714 | Guo, Yunfei,Yin, Fei,Feng, Wei,et al. Social Relation Reasoning Based on Triangular Constraints[C]. 见:. 美国华盛顿. 2023年2月7日-14日. |
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