5 citations · 11 across the 3 of their papers we have counts for
3 papers
quant-ph2025★ 4 cited
Quantum negative sampling strategy for knowledge graph embedding with variational circuit
Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito
Knowledge graph is a collection of facts, known as triples(head, relation, tail), which are represented in form of a network, where nodes are entities and edges are relations among…
cs.LG2023★ 5 cited
Parameter-Level Soft-Masking for Continual Learning
Tatsuya Konishi, Mori Kurokawa, Chihiro Ono +3
Existing research on task incremental learning in continual learning has primarily focused on preventing catastrophic forgetting (CF). Although several techniques have achieved lea…
cs.IR2022★ 2 cited
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations
Zhi Li, Daichi Amagata, Yihong Zhang +4
Deep learning-based recommender systems may lead to over-fitting when lacking training interaction data. This over-fitting significantly degrades recommendation performances. To ad…