Node Embedding

تضمين العُقد

تحويل كل عقدة في رسم بياني إلى متجه عددي منخفض الأبعاد يحافظ على بنية الجوار والعلاقات في الشبكة الأصلية، بحيث تحصل العُقد المتشابهة على متجهات متقاربة.

The process of mapping each node in a graph to a low-dimensional numerical vector that preserves the neighborhood structure and relationships from the original network, so that similar nodes receive nearby vectors.

Also translated asتمثيل العُقد، تمثيل عُقدي

First appears in this corpus in: node2vec: Scalable Feature Learning for Networks (2016)

Appears in these papers

How Powerful Are Graph Neural Networks?2019 in the sky ✦
How Powerful Are Graph Neural Networks?2019 in the sky ✦
node2vec: Scalable Feature Learning for Networks2016 in the sky ✦