Ara
Toplam kayıt 5, listelenen: 1-5
Consensus embedding for multiple networks: Computation and applications
(CAMBRIDGE UNIV PRESS32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473, 2022)
Machine learning applications on large-scale network-structured data commonly encode network information in the form of node embeddings. Network embedding algorithms map the nodes into a lowdimensional space such that the ...
Intrinsic graph topological correlation for graph convolutional network propagation
(ELSEVIER, 2022)
Recently, Graph Convolutional Networks (GCNs) and their variants become popular to learn graph-related tasks. These tasks include link prediction, node classification, and node embedding, among many others. In the node ...
Developing a label propagation approach for cancer subtype classification problem
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA 00000, TURKEY, 2022)
Cancer is a disease in which abnormal cells grow uncontrollably and invade other tissues. Several types of cancer have various
subtypes with different clinical and biological implications. Based on these differences, ...
Traffic Light Management Systems Using Reinforcement Learning
(Institute of Electrical and Electronics Engineers Inc., 2022)
While reducing traffic congestion and decrease the
number of traffic accidents in the intersections, most of the traffic
light management approaches cannot adapt well to fast changing
traffic dynamics and growing demands ...
Linear vs. Non-Linear Embedding Methods in Recommendation Systems
(Institute of Electrical and Electronics Engineers Inc., 2022)
Predicting customer interest in items is very crucial in direct marketing as it can potentially boost sales. Data mining techniques are developed to predict which items a particular user might be interested in based on ...