Knowledge Commons of Institute of Automation,CAS
Social Relation Reasoning Based on Triangular Constraints | |
Guo, Yunfei1,2![]() ![]() ![]() ![]() | |
2023-06 | |
会议名称 | AAAI Conference on Artificial Intelligence |
卷号 | 37 |
期号 | 1 |
页码 | 737-745 |
会议日期 | 2023年2月7日-14日 |
会议地点 | 美国华盛顿 |
出版地 | Menlo Park, CA |
出版者 | AAAI |
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. |
学科门类 | 工学::计算机科学与技术(可授工学、理学学位) |
DOI | 10.1609/aaai.v37i1.25151 |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
是否为代表性论文 | 是 |
七大方向——子方向分类 | 图像视频处理与分析 |
国重实验室规划方向分类 | 视觉信息处理 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57398 |
专题 | 多模态人工智能系统全国重点实验室_模式分析与学习 |
通讯作者 | Liu, Cheng-Lin |
作者单位 | 1.National Laboratory of Pattern Recognition (NLPR), Institute of Automation of Chinese Academy of Sciences, Beijing 100190, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China 3.T Lab, Tencent Map, Tencent Technology (Beijing) Co., Ltd., Beijing 100193, China 4.CAS Center for Excellence of Brain Science and Intelligence Technology, Beijing 100190, China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
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]. Menlo Park, CA:AAAI,2023:737-745. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Social relation reas(977KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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