Jin-Duk Park

According to our database, Jin-Duk Park authored at least 11 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs.

Siqing Li, Jin-Duk Park, Wei Huang, Xin Cao, Won-Yong Shin, Zhiqiang Xu

CoRR, 2024

CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems.

Jin-Duk Park, Kyung-Min Kim, Won-Yong Shin

CoRR, 2024

Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation.

Jin-Duk Park, Yong-Min Shin, Won-Yong Shin

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity.

Yu Hou, Jin-Duk Park, Won-Yong Shin

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

On the Power of Gradual Network Alignment Using Dual-Perception Similarities.

Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Node Feature Augmentation Vitaminizes Network Alignment.

Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao

CoRR, 2023

Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation.

Jin-Duk Park, Siqing Li, Xin Cao, Won-Yong Shin

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation.

Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao

CoRR, 2022

Two-Stage Deep Anomaly Detection With Heterogeneous Time Series Data.

Kyeong-Joong Jeong, Jin-Duk Park, Kyusoon Hwang, Seong-Lyun Kim, Won-Yong Shin

IEEE Access, 2022

GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation.

Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract).

Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022