Ausgabe 3/2023
Special Issue:Selected Papers from DASFAA 2023
Inhalt (9 Artikel)
Open Access
EDITORIAL
Special Issue of DASFAA 2023
Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Yingxiao Shao, Hongzhi Yin
Open Access
Research Paper
A Neural Inference of User Social Interest for Item Recommendation
Junyang Chen, Ziyi Chen, Mengzhu Wang, Ge Fan, Guo Zhong, Ou Liu, Wenfeng Du, Zhenghua Xu, Zhiguo Gong
Open Access
Research Paper
Deep Learning-Based Bloom Filter for Efficient Multi-key Membership Testing
Haitian Chen, Ziwei Wang, Yunchuan Li, Ruixin Yang, Yan Zhao, Rui Zhou, Kai Zheng
Open Access
Research Paper
Combining Graph Contrastive Embedding and Multi-head Cross-Attention Transfer for Cross-Domain Recommendation
Shuo Xiao, Dongqing Zhu, Chaogang Tang, Zhenzhen Huang
Open Access
Research Paper
Fully Dynamic Contraction Hierarchies with Label Restrictions on Road Networks
Zi Chen, Bo Feng, Long Yuan, Xuemin Lin, Liping Wang
Open Access
Research Paper
Efficient Network Representation Learning via Cluster Similarity
Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Akisato Kimura, Naonori Ueda
Open Access
Research Paper
Learning with Small Data: Subgraph Counting Queries
Kangfei Zhao, Zongyan He, Jeffrey Xu Yu, Yu Rong
Open Access
Research Paper
A One-Size-Fits-Three Representation Learning Framework for Patient Similarity Search
Yefan Huang, Feng Luo, Xiaoli Wang, Zhu Di, Bohan Li, Bin Luo
Open Access
Research Paper
Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation
Zhi-Yuan Li, Man-Sheng Chen, Yuefang Gao, Chang-Dong Wang