3 papers
cs.LG2024
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…
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…
cs.IR2023
Estimating Propensity for Causality-based Recommendation without Exposure Data
Zhongzhou Liu, Yuan Fang, Min Wu
Causality-based recommendation systems focus on the causal effects of user-item interactions resulting from item exposure (i.e., which items are recommended or exposed to the user)…