2 papers
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.AI2024
Diversified and Adaptive Negative Sampling on Knowledge Graphs
Ran Liu, Zhongzhou Liu, Xiaoli Li +2
In knowledge graph embedding, aside from positive triplets (ie: facts in the knowledge graph), the negative triplets used for training also have a direct influence on the model per…