4 papers
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…
FusionAdapter for Few-Shot Relation Learning in Multimodal Knowledge Graphs
Ran Liu, Yuan Fang, Xiaoli Li
Multimodal Knowledge Graphs (MMKGs) incorporate various modalities, including text and images, to enhance entity and relation representations. Notably, different modalities for the…
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
Ran Liu, Zhongzhou Liu, Xiaoli Li +1
Knowledge graphs (KGs) are instrumental in various real-world applications, yet they often suffer from incompleteness due to missing relations. To predict instances for novel relat…
Collaborative Cross-modal Fusion with Large Language Model for Recommendation
Zhongzhou Liu, Hao Zhang, Kuicai Dong +1
Despite the success of conventional collaborative filtering (CF) approaches for recommendation systems, they exhibit limitations in leveraging semantic knowledge within the textual…