Graphs are data structures that effectively represent relational data in the real world.Graph representation learning is a significant task since it could Change Mat facilitate various downstream tasks, such as node classification, link prediction, etc.Graph representation learning aims to map graph entities to low-dimensional vectors while preserv
Identification of risk factors in patients with a particular disease can be analyzed in clinical data sets by using feature selection procedures of pattern recognition and data mining methods.The applicability of the Jewellery Set relaxed linear separability (RLS) method of feature subset selection was checked for high-dimensional and mixed type (g
Objective: To ascertain the utilization of the emergency contraception and to evaluate the impact of intervention on acceptability and utilization of emergency contraceptive pills.Materials and Methods: This community based cross sectional study was carried out by the department of community medicine in the slums of Chandigarh.The study sample was
Since the geometry of duck tip overflows Files will complicate the problem for theoretical and practical purposes, it is crucial to study the magnification and hydraulic change of flow on these overflows.In this study, the effect of these changes on the hydraulic and hydrodynamic properties of the flow was investigated by numerical simulation using