Message Passing
تمرير الرسائل
إطار عام للشبكات العصبية الرسومية حيث تتبادل العُقد رسائل مع جيرانها وتجمّعها لتحديث تمثيلاتها. يشمل GCN وGAT وGraphSAGE كحالات خاصة.
A general framework for graph neural networks where nodes exchange messages with their neighbors and aggregate them to update their representations. Includes GCN, GAT, and GraphSAGE as special cases.
Also translated asتبادل الرسائل بين العُقد، نموذج تمرير الرسائل، إطار تمرير الرسائل
First appears in this corpus in: The Graph Neural Network Model (2009)
Appears in these papers
- Graph Attention Networks2018in the sky ✦
- Semi-Supervised Classification with Graph Convolutional Networks2017in the sky ✦
- How Powerful Are Graph Neural Networks?2019in the sky ✦
- How Powerful Are Graph Neural Networks?2019in the sky ✦
- The Graph Neural Network Model2009in the sky ✦
- The Graph Neural Network Model2009in the sky ✦
- Do Transformers Really Perform Bad for Graph Representation?2021in the sky ✦
- Do Transformers Really Perform Bad for Graph Representation?2021in the sky ✦
- Inductive Representation Learning on Large Graphs2017in the sky ✦
- Neural Message Passing for Quantum Chemistry2017in the sky ✦
- Neural Message Passing for Quantum Chemistry2017in the sky ✦
- PinSage: Graph Convolutional Neural Networks for Web-Scale Recommender Systems2018in the sky ✦
- Spectral Networks and Deep Locally Connected Networks on Graphs2014in the sky ✦