Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. Liu, Y., Li, Z., Pan, S., Gong, C., Zhou, C., & Karypis, G. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. doi bibtex @article{
title = {Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning},
type = {article},
year = {2021},
pages = {1-15},
id = {a1deec42-29b2-3797-9019-812a6b67ae1a},
created = {2021-06-12T06:28:36.398Z},
file_attached = {false},
profile_id = {079852a8-52df-3ac8-a41c-8bebd97d6b2b},
last_modified = {2022-04-10T12:11:40.489Z},
read = {false},
starred = {false},
authored = {true},
confirmed = {true},
hidden = {false},
citation_key = {9395172},
source_type = {article},
folder_uuids = {2327f56c-ffc0-4246-bac0-b9fa6098ebfb,a5961aba-0e48-4cf8-9566-d73aaba73d2c},
private_publication = {false},
bibtype = {article},
author = {Liu, Yixin and Li, Zhao and Pan, Shirui and Gong, Chen and Zhou, Chuan and Karypis, George},
doi = {10.1109/TNNLS.2021.3068344},
journal = {IEEE Transactions on Neural Networks and Learning Systems (TNNLS)}
}
Downloads: 0
{"_id":"nEwMR2CTuWt5TuTvP","bibbaseid":"liu-li-pan-gong-zhou-karypis-anomalydetectiononattributednetworksviacontrastiveselfsupervisedlearning-2021","author_short":["Liu, Y.","Li, Z.","Pan, S.","Gong, C.","Zhou, C.","Karypis, G."],"bibdata":{"title":"Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning","type":"article","year":"2021","pages":"1-15","id":"a1deec42-29b2-3797-9019-812a6b67ae1a","created":"2021-06-12T06:28:36.398Z","file_attached":false,"profile_id":"079852a8-52df-3ac8-a41c-8bebd97d6b2b","last_modified":"2022-04-10T12:11:40.489Z","read":false,"starred":false,"authored":"true","confirmed":"true","hidden":false,"citation_key":"9395172","source_type":"article","folder_uuids":"2327f56c-ffc0-4246-bac0-b9fa6098ebfb,a5961aba-0e48-4cf8-9566-d73aaba73d2c","private_publication":false,"bibtype":"article","author":"Liu, Yixin and Li, Zhao and Pan, Shirui and Gong, Chen and Zhou, Chuan and Karypis, George","doi":"10.1109/TNNLS.2021.3068344","journal":"IEEE Transactions on Neural Networks and Learning Systems (TNNLS)","bibtex":"@article{\n title = {Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning},\n type = {article},\n year = {2021},\n pages = {1-15},\n id = {a1deec42-29b2-3797-9019-812a6b67ae1a},\n created = {2021-06-12T06:28:36.398Z},\n file_attached = {false},\n profile_id = {079852a8-52df-3ac8-a41c-8bebd97d6b2b},\n last_modified = {2022-04-10T12:11:40.489Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {9395172},\n source_type = {article},\n folder_uuids = {2327f56c-ffc0-4246-bac0-b9fa6098ebfb,a5961aba-0e48-4cf8-9566-d73aaba73d2c},\n private_publication = {false},\n bibtype = {article},\n author = {Liu, Yixin and Li, Zhao and Pan, Shirui and Gong, Chen and Zhou, Chuan and Karypis, George},\n doi = {10.1109/TNNLS.2021.3068344},\n journal = {IEEE Transactions on Neural Networks and Learning Systems (TNNLS)}\n}","author_short":["Liu, Y.","Li, Z.","Pan, S.","Gong, C.","Zhou, C.","Karypis, G."],"biburl":"https://bibbase.org/service/mendeley/079852a8-52df-3ac8-a41c-8bebd97d6b2b","bibbaseid":"liu-li-pan-gong-zhou-karypis-anomalydetectiononattributednetworksviacontrastiveselfsupervisedlearning-2021","role":"author","urls":{},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/service/mendeley/079852a8-52df-3ac8-a41c-8bebd97d6b2b","dataSources":["mKA5vx6kcS6ikoYhW","ya2CyA73rpZseyrZ8","AoeZNpAr9D2ciGMwa","gmNB3pprCEczjrwyo","SRK2HijFQemp6YcG3","dJWKgXqQFEYPXFiST","HPBzCWvwA7wkE6Dnk","uEtXodz95HRDCHN22","2252seNhipfTmjEBQ","vpu5W6z2tNtLkKjsj","fcdT59YHNhp9Euu5k","HmWAviNezgcH2jK9X","ukuCjJZTpTcMx84Tz","m7B7iLMuqoXuENyof","AcaDrFjGvc6GmT8Yb"],"keywords":[],"search_terms":["anomaly","detection","attributed","networks","via","contrastive","self","supervised","learning","liu","li","pan","gong","zhou","karypis"],"title":"Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning","year":2021}