Graph embedding is a technique that aims to represent nodes as low-dimensional vectors, capturing their graph position and the underlying structure of their local graph neighborhood 1. It is a type of ...
Text Graph Representation Learning through Graph Neural Networks (TG-GNN) is a powerful approach in natural language processing and information retrieval. However, it faces challenges in computational ...
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