2 papers
cs.AI2025
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…
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…