Mystic
发表于 2025-3-26 22:42:43
http://reply.papertrans.cn/43/4237/423673/423673_31.png
诱导
发表于 2025-3-27 03:38:43
R. Jansen,P. Külpmannntities and relation types. Most existing methods only concentrate on knowledge triples, ignoring logic rules which contain rich background knowledge. Although there has been some work aiming at leveraging both knowledge triples and logic rules, they ignore the transitivity and asymmetry of logic ru
Antagonism
发表于 2025-3-27 05:33:59
http://reply.papertrans.cn/43/4237/423673/423673_33.png
圆木可阻碍
发表于 2025-3-27 13:01:08
http://reply.papertrans.cn/43/4237/423673/423673_34.png
artless
发表于 2025-3-27 17:05:49
F. Mosers, graph neural networks (GNNs) have been successfully applied in many embedding-based EA methods. However, existing GNN-based methods either suffer from the structural heterogeneity issue that especially appears in the real KG distributions or ignore the heterogeneous representation learning for un
美色花钱
发表于 2025-3-27 18:39:38
obtained from illegal activities. Although recent approaches based on Graph Neural Networks (GNNs) have shown remarkable achievements in fraud detection, investigating cryptocurrency transaction networks is subject to the following challenges: 1) There is a lack of useful node features as cryptocur
Cardiac
发表于 2025-3-27 21:57:19
H. J. Haepp,W. Pollmanng imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining grap978-3-030-47425-6978-3-030-47426-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
OMIT
发表于 2025-3-28 04:33:20
nique to capture the general pattern underlying the data, thus guaranteeing the model robustness under some data missing circumstances. Extensive experiments on three widely used citation network datasets show that our proposed method has achieved or matched state-of-the-art results on link predicti
Glycogen
发表于 2025-3-28 09:03:25
E. Gock,J. Kähler,V. Vogtormal data. Second, we adopt Spatial-Temporal Transformer with distinct attention modules to detect diverse anomalies. Extensive experiments on five real-world datasets are conducted, the results show that our method is superior to existing state-of-the-art approaches.
Derogate
发表于 2025-3-28 11:00:12
http://reply.papertrans.cn/43/4237/423673/423673_40.png