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cs.LG2025
Quantizing Text-attributed Graphs for Semantic-Structural Integration
Jianyuan Bo, Hao Wu, Yuan Fang
Text-attributed graphs (TAGs) have emerged as a powerful representation for modeling complex relationships across diverse domains. With the rise of large language models (LLMs), th…
cs.LG2024★ 1 cited
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs
Amitoz Azad, Yuan Fang
Geodesic distances on manifolds have numerous applications in image processing, computer graphics and computer vision. In this work, we introduce an approach called `LGGD' (Learned…