GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion

Le Cheng, Peican Zhu, Keke Tang, Chao Gao, Zhen Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

13 引用 (Scopus)

摘要

Source detection in graphs has demonstrated robust efficacy in the domain of rumor source identification. Although recent solutions have enhanced performance by leveraging deep neural networks, they often require complete user data. In this paper, we address a more challenging task, rumor source detection with incomplete user data, and propose a novel framework, i.e., Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion (GIN-SD), to tackle this challenge. Specifically, our approach utilizes a positional embedding module to distinguish nodes that are incomplete and employs a self-attention mechanism to focus on nodes with greater information transmission capacity. To mitigate the prediction bias caused by the significant disparity between the numbers of source and non-source nodes, we also introduce a class-balancing mechanism. Extensive experiments validate the effectiveness of GIN-SD and its superiority to state-of-the-art methods.

源语言英语
主期刊名Technical Tracks 14
编辑Michael Wooldridge, Jennifer Dy, Sriraam Natarajan
出版商Association for the Advancement of Artificial Intelligence
55-63
页数9
版本1
ISBN(电子版)1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879
DOI
出版状态已出版 - 25 3月 2024
活动38th AAAI Conference on Artificial Intelligence, AAAI 2024 - Vancouver, 加拿大
期限: 20 2月 202427 2月 2024

出版系列

姓名Proceedings of the AAAI Conference on Artificial Intelligence
编号1
38
ISSN(印刷版)2159-5399
ISSN(电子版)2374-3468

会议

会议38th AAAI Conference on Artificial Intelligence, AAAI 2024
国家/地区加拿大
Vancouver
时期20/02/2427/02/24

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