Zobrazeno 1 - 6
of 6
pro vyhledávání: '"YANFANG (FANNY) YE"'
Publikováno v:
Proceedings of the 44th International Conference on Software Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f83bf6b3affcda1ab3ee8327c27f97b4
https://doi.org/10.1145/3510003.3510058
https://doi.org/10.1145/3510003.3510058
Autor:
Pengcheng Fang, Peng Gao, Erman Ayday, Kangkook Jee, Ting Wang, Yanfang (Fanny) Ye, Zhuotao Liu, Xusheng Xiao
Causality analysis on system auditing data has emerged as an important solution for attack investigation. Given a POI (Point-Of-Interest) event (e.g., an alert fired on a suspicious file creation), causality analysis constructs a dependency graph, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6335cdb57e2a336c3df2d44953f9c55d
Publikováno v:
ACM Computing Surveys; Jan2023, Vol. 55 Issue 1, p1-35, 35p
Graph neural network (GNN) has shown superior performance in dealing with graphs, which has attracted considerable research attention recently. However, most of the existing GNN models are primarily designed for graphs in Euclidean spaces. Recent res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37bd674357733a700e712554cd4bfac1
http://arxiv.org/abs/1912.03046
http://arxiv.org/abs/1912.03046
Publikováno v:
ACM Computing Surveys; Jan2022, Vol. 54 Issue 1, p1-35, 35p, 6 Diagrams, 4 Charts
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-1
Heterogeneous information network (HIN) embedding has gained considerable attention in recent years, which learns low-dimensional representation of nodes while preserving the semantic and structural correlations in HINs. Many of existing methods whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::662532d4a5c45b8959c84148131654d3
https://doi.org/10.1109/tkde.2021.3096231
https://doi.org/10.1109/tkde.2021.3096231