Node Classification
تصنيف العُقد
مهمة تعيين تسمية فئة لكل عقدة في الرسم البياني بناءً على سماتها وبنية الروابط المحيطة بها. من أبرز تطبيقات الشبكات العصبية الرسومية.
The task of assigning a class label to each node in a graph based on its features and surrounding link structure. One of the primary applications of graph neural networks.
Also translated asتصنيف رؤوس الرسم البياني، تبويب العُقد
First appears in this corpus in: On Spectral Clustering: Analysis and an Algorithm (2001)
Appears in these papers
- DeepWalk: Online Learning of Social Representations2014in the sky ✦
- Graph Attention Networks2018in the sky ✦
- Graph Attention Networks2018in the sky ✦
- Semi-Supervised Classification with Graph Convolutional Networks2017in the sky ✦
- Semi-Supervised Classification with Graph Convolutional Networks2017in the sky ✦
- The Graph Neural Network Model2009in the sky ✦
- The Graph Neural Network Model2009in the sky ✦
- Inductive Representation Learning on Large Graphs2017in the sky ✦
- Inductive Representation Learning on Large Graphs2017in the sky ✦
- node2vec: Scalable Feature Learning for Networks2016in the sky ✦
- PinSage: Graph Convolutional Neural Networks for Web-Scale Recommender Systems2018in the sky ✦
- On Spectral Clustering: Analysis and an Algorithm2001in the sky ✦