Kim, Sang-Wook

1. Phishing URL Detection: A Network-based Approach Robust to Evasion
   2022/09/03 by Kim, Taeri, Park, Noseong, Hong, Jiwon +1 · 3 citations
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. Linear, or Non-Linear, That is the Question!
   2021/11/14 by Taeyong Kong, Kong, Taeyong, Taeri Kim +11 · 3 citations
   Computer Science · #Recommender Systems and Techniques #Caching and Content Delivery #Advanced Graph Neural Networks
3. MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation
   2023/12/15 by Yungi Kim, Taeri Kim, Kim, Yungi +5 · 3 citations
   Computer Science · Psychology · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Mental Health via Writing
4. Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks
   2024/08/23 by Yeon-Chang Lee, Lee, Yeon-Chang, Ho-Jung Shin +3 · 4 citations
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
5. COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
   2025/04/06 by Jinfeng Xu, Xu, Jinfeng, Zheyu Chen +9 · 9 citations
   Computer Science · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Advanced Technologies in Various Fields
6. VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation
   2023/12/19 by Kim, Taeri, Heo, Jiho, Kim, Hongil +2 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
7. Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation
   2024/02/25 by Neng Kai Nigel Neo, Neo, Neng Kai Nigel, Yeon-Chang Lee +7 · 1 citation
   Computer Science · Social Sciences · #Cybercrime and Law Enforcement Studies #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)