Sang-Wook Kim

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 169

Top Venues

CIKM

SAC

WWW (Companion Volume)

CoRR

Publications

Hong-Kyun Bae, Yebeen Kim, Hyunjoon Kim, Sang-Wook Kim
Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation. WWW (2024)
David Y. Kang, Qiaozhu Mei, Sang-Wook Kim
Low Mileage, High Fidelity: Evaluating Hypergraph Expansion Methods by Quantifying the Information Loss. WWW (2024)
Youngseung Jeon, Jaehoon Kim, Sohyun Park, Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim, Kyungsik Han
HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System. CoRR (2024)
Taeri Kim, Jiho Heo, Hongil Kim, Kijung Shin, Sang-Wook Kim
VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation. AAAI (2024)
Hong-Kyun Bae, Hae-Ri Jang, Yang-Sae Moon, Sang-Wook Kim
Item-Ranking Promotion in Recommender Systems. WWW (Companion Volume) (2024)
Jeong-Min Park, Myung-Hwan Jang, Duck-Ho Bae, Sang-Wook Kim
RealGraphGPU++: A High-Performance GPU-Based Graph Engine with Direct Storage-to-DM IO. WWW (Companion Volume) (2024)
Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar
A Survey of Graph Neural Networks for Social Recommender Systems. ACM Comput. Surv. 56 (10) (2024)
Jeong-Min Park, Myung-Hwan Jang, Sang-Wook Kim
: A Convenient and Efficient GPU-Based Graph Analysis Platform on the Web. WWW (Companion Volume) (2024)
Yungi Kim, Taeri Kim, Won-Yong Shin, Sang-Wook Kim
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation. WSDM (2024)
Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim
Random-Walk-Based or Similarity-Based Methods, Which is Better for Directed Graph Embedding? BigComp (2024)
Jeewon Ahn, Hong-Kyun Bae, Sang-Wook Kim
Is the 'Impression Log' Beneficial to Evaluating News Recommender Systems? No, it is Not! WWW (Companion Volume) (2024)
Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation. CoRR (2024)
Youngseung Jeon, Jaehoon Kim, Sohyun Park, Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim, Kyungsik Han
HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Yeon-Chang Lee, JaeHyun Lee, Dongwon Lee, Sang-Wook Kim
Learning to compensate for lack of information: Extracting latent knowledge for effective temporal knowledge graph completion. Inf. Sci. 654 (2024)
Yun-Yong Ko, Seongeun Ryu, Soeun Han, Yeongseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim
KHAN: Knowledge-Aware Hierarchical Attention Networks for Political Stance Prediction. CoRR (2023)
Yun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction. WWW (2023)
Jiwon Hong, Sang-Wook Kim
C-Affinity: A Novel Similarity Measure for Effective Data Clustering. WWW (Companion Volume) (2023)
Taehyeong Park, Seokwon Kang, Myung-Hwan Jang, Sang-Wook Kim, Yongjun Park
Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems. ICDE (2023)
Jiyeon Kim, Taeri Kim, Sang-Wook Kim
Read between the interactions: Understanding non-interacted items for accurate multimedia recommendation. Comput. Sci. Inf. Syst. 20 (3) (2023)
Myung-Hwan Jang, Jeong-Min Park, Ikhyeon Jo, Duck-Ho Bae, Sang-Wook Kim
RealGraph+: A High-Performance Single-Machine-Based Graph Engine that Utilizes IO Bandwidth Effectively. WWW (Companion Volume) (2023)
Taeho Kim, Juwon Yu, Won-Yong Shin, Hyunyoung Lee, Ji-Hui Im, Sang-Wook Kim
LATTE: A Framework for Learning Item-Features to Make a Domain-Expert for Effective Conversational Recommendation. KDD (2023)
Min-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim
TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks. SIGIR (2023)
Min-Jeong Kim, Yeon-Chang Lee, David Y. Kang, Sang-Wook Kim
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding. CoRR (2023)
Taeri Kim, Jiho Heo, Hongil Kim, Kijung Shin, Sang-Wook Kim
VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation. CoRR (2023)
Hong-Kyun Bae, Jeewon Ahn, Dongwon Lee, Sang-Wook Kim
LANCER: A Lifetime-Aware News Recommender System. AAAI (2023)
Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. CIKM (2023)
Jeewon Ahn, Hong-Kyun Bae, Sang-Wook Kim
Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It's NOT. WWW (Companion Volume) (2023)
Yun-Yong Ko, Hanghang Tong, Sang-Wook Kim
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning. CoRR (2023)
Yeon-Chang Lee, Sang-Wook Kim
Uninteresting Items: Concept and Its Application to Effective Collaborative Filtering in Recommender Systems. SIGWEB Newsl. 2023 (Autumn) (2023)
David Y. Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim
A Framework for Accurate Community Detection on Signed Networks Using Adversarial Learning. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Deniz Canturk, Pinar Karagoz, Sang-Wook Kim, Ismail Hakki Toroslu
Trust-aware location recommendation in location-based social networks: A graph-based approach. Expert Syst. Appl. 213 (Part) (2023)
Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim
CIDER: Category-Guided Intent Disentanglement for Accurate Personalized News Recommendation. CoRR (2023)
Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. CoRR (2023)
Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim
GELTOR: A Graph Embedding Method based on Listwise Learning to Rank. WWW (2023)
Yungi Kim, Taeri Kim, Won-Yong Shin, Sang-Wook Kim
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation. CoRR (2023)
Hong-Kyun Bae, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim
A Competition-Aware Approach to Accurate TV Show Recommendation. ICDE (2023)
Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim
Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding. WWW (2023)
Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim
ELTRA: An Embedding Method based on Learning-to-Rank to Preserve Asymmetric Information in Directed Graphs. CIKM (2023)
Taeri Kim, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim
MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation. CIKM (2022)
Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim
Adaptive Autoencoders Exploiting Content Preference for Accurate Recommendation. BigComp (2022)
Yoonsuk Kang, Jun Seok Lee, Won-Yong Shin, Sang-Wook Kim
Community reinforcement: An effective and efficient preprocessing method for accurate community detection. Knowl. Based Syst. 237 (2022)
Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim
Directed Network Embedding with Virtual Negative Edges. WSDM (2022)
Hongjun Lim, Yeon-Chang Lee, Jin-Seo Lee, Sanggyu Han, Seunghyeon Kim, Yeon Jeong Jeong, Changbong Kim, Jaehun Kim, Sunghoon Han, Solbi Choi, Hanjong Ko, Dokyeong Lee, Jaeho Choi, Yungi Kim, Hong-Kyun Bae, Taeho Kim, Jeewon Ahn, Hyun-Soung You, Sang-Wook Kim
AiRS: A Large-Scale Recommender System at NAVER News. ICDE (2022)
Taeho Kim, Yungi Kim, Yeon-Chang Lee, Won-Yong Shin, Sang-Wook Kim
Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation. CIKM (2022)
Junho Song, Kyungsik Han, Sang-Wook Kim
"I Have No Text in My Post": Using Visual Hints to Model User Emotions in Social Media. WWW (2022)
Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, Sunju Park
A Data Layout With Good Data Locality for Single-Machine Based Graph Engines. IEEE Trans. Computers 71 (8) (2022)
Jiwon Hong, Dong-hyuk Seo, Jeewon Ahn, Sang-Wook Kim
GraphReformCD: Graph Reformulation for Effective Community Detection in Real-World Graphs. WWW (Companion Volume) (2022)
Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim
Linear, or Non-Linear, That is the Question! WSDM (2022)
Sung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, Sang-Wook Kim
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation. WSDM (2022)
Yeon-Chang Lee, JaeHyun Lee, Dongwon Lee, Sang-Wook Kim
THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks. ICDM (2022)
Junho Song, Jiwon Son, Dong-hyuk Seo, Kyungsik Han, Namhyuk Kim, Sang-Wook Kim
ST-GAT: A Spatio-Temporal Graph Attention Network for Accurate Traffic Speed Prediction. CIKM (2022)
Yun-Yong Ko, Dongwon Lee, Sang-Wook Kim
Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training. WWW (2022)
Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar
A Survey of Graph Neural Networks for Social Recommender Systems. CoRR (2022)
Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park
Context-aware Traffic Flow Forecasting in New Roads. CIKM (2022)
Junha Park, Yeon-Chang Lee, Sang-Wook Kim
Effective and efficient negative sampling in metric learning based recommendation. Inf. Sci. 605 (2022)
Taeri Kim, Noseong Park, Jiwon Hong, Sang-Wook Kim
Phishing URL Detection: A Network-based Approach Robust to Evasion. CCS (2022)
Taeri Kim, Noseong Park, Jiwon Hong, Sang-Wook Kim
Phishing URL Detection: A Network-based Approach Robust to Evasion. CoRR (2022)
Myung-Hwan Jang, Yun-Yong Ko, Dongkyu Jeong, Jeong-Min Park, Sang-Wook Kim
: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis. CIKM (2022)
Soeun Han, Yun-Yong Ko, Yushim Kim, Seong Soo Oh, Heejin Park, Sang-Wook Kim
D-FEND: a diffusion-based fake news detection framework for news articles related to COVID-19. SAC (2022)
Namhyuk Kim, Junho Song, Siyoung Lee, Jaewon Choe, Kyungsik Han, Sunghwan Park, Sang-Wook Kim
APOTS: A Model for Adversarial Prediction of Traffic Speed. ICDE (2022)
Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim
Linear, or Non-Linear, That is the Question! CoRR (2021)
Yeon-Chang Lee, Taeho Kim, Jaeho Choi, Xiangnan He, Sang-Wook Kim
M-BPR: A novel approach to improving BPR for recommendation with multi-type pair-wise preferences. Inf. Sci. 547 (2021)
Hyun-Soung You, Ji-Hong Kim, Won-Yong Shin, Sang-Wook Kim
Location-Aware Caching via Predicting Heterogeneous File Preferences in Mobile Networks. PerCom Workshops (2021)
Yun-Yong Ko, Kibong Choi, Jiwon Seo, Sang-Wook Kim
An In-Depth Analysis of Distributed Training of Deep Neural Networks. IPDPS (2021)
Hong-Kyun Bae, Hyung-Ook Kim, Won-Yong Shin, Sang-Wook Kim
"How to get consensus with neighbors?": Rating standardization for accurate collaborative filtering. Knowl. Based Syst. 234 (2021)
Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems. ICDM (2021)
Wonchang Lee, Yeon-Chang Lee, Dongwon Lee, Sang-Wook Kim
Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks. SIGIR (2021)
Masoud Reyhani Hamedani, Sang-Wook Kim
AdaSim: A Recursive Similarity Measure in Graphs. CIKM (2021)
Yeon-Chang Lee, Jiwon Son, Taeho Kim, Daeyoung Park, Sang-Wook Kim
Exploiting uninteresting items for effective graph-based one-class collaborative filtering. J. Supercomput. 77 (7) (2021)
Masoud Reyhani Hamedani, Sang-Wook Kim
Embedding Methods or Link-based Similarity Measures, Which is Better for Link Prediction? IC-NIDC (2021)
Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Wan D. Bae, Wonjun Lee, Sang-Wook Kim
${\sf FORESEE}$FORESEE: An Effective and Efficient Framework for Estimating the Execution Times of IO Traces on the SSD. IEEE Trans. Computers 70 (12) (2021)
Yun-Yong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, Sang-Wook Kim
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning. CIKM (2021)
Yoonsuk Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim
Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks. ICDM (2021)
Masoud Reyhani Hamedani, Sang-Wook Kim
JacSim*: An Effective and Efficient Solution to the Pairwise Normalization Problem in SimRank. IEEE Access 9 (2021)
Eujeanne Kim, Sung-Jun Park, Seokwoo Choi, Dong-Kyu Chae, Sang-Wook Kim
MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups. CCS (2021)
Masoud Hamedani, Sang-Wook Kim
SimAndro-plus: On computing similarity of android applications. Comput. Sci. Inf. Syst. 18 (4) (2021)
Myung-Hwan Jang, Yong-Yeon Jo, Sang-Wook Kim
RealGraph-Web: A Graph Analysis Platform on the Web. Proc. VLDB Endow. 14 (12) (2021)
Masoud Reyhani Hamedani, Irfan Ali, Jiwon Hong, Sang-Wook Kim
TrustRec: An effective approach to exploit implicit trust and distrust relationships along with explicitones for accurate recommendations. Comput. Sci. Inf. Syst. 18 (1) (2021)
Hyun-Kyo Oh, Jongbin Jung, Sunju Park, Sang-Wook Kim
A robust reputation system using online reviews? Comput. Sci. Inf. Syst. 17 (2) (2020)
Yoonsuk Kang, Jun Seok Lee, Won-Yong Shin, Sang-Wook Kim
CR-Graph: Community Reinforcement for Accurate Community Detection. CIKM (2020)
Yeon-Chang Lee, Nayoun Seo, Sang-Wook Kim
Are Negative Links Really Beneficial to Network Embedding?: In-Depth Analysis and Interesting Results. CIKM (2020)
Yeon-Chang Lee, Nayoun Seo, Kyungsik Han, Sang-Wook Kim
ASiNE: Adversarial Signed Network Embedding. SIGIR (2020)
Eujeanne Kim, Sung-Jun Park, Dong-Kyu Chae, Seokwoo Choi, Sang-Wook Kim
A Human-in-the-Loop Approach to Malware Author Classification. CIKM (2020)
Junho Song, Kyungsik Han, Dongwon Lee, Sang-Wook Kim
Understanding emotions in SNS images from posters' perspectives. SAC (2020)
Dong-Kyu Chae, Jihoo Kim, Duen Horng Chau, Sang-Wook Kim
AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems. SIGIR (2020)
Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim
Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation. DASFAA (3) (2020)
Junho Song, Hyekyoung Park, Kyungsik Han, Sang-Wook Kim
Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS. CIKM (2020)
Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, Kyungsik Han
Efficient processing of recommendation algorithms on a single-machine-based graph engine. J. Supercomput. 76 (10) (2020)
Dong-Kyu Chae, Bo-Kyum Kim, Seung Ho Kim, Sang-Wook Kim
Incremental feature selection for efficient classification of dynamic graph bags. Concurr. Comput. Pract. Exp. 32 (18) (2020)
Jeongmyung Lee, Seokwon Kang, Yongseung Yu, Yong-Yeon Jo, Sang-Wook Kim, Yongjun Park
Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks. ICDE (2020)
Yeon-Chang Lee, Daeyoung Park, Jiwon Son, Taeho Kim, Sang-Wook Kim
Graph-Theoretic One-Class Collaborative Filtering using Signed Random Walk with Restart. BigComp (2020)
Duck-Ho Bae, Seo Jeong, Jiwon Hong, Minsoo Lee, Mirjana Ivanovic, Milos Savic, Sang-Wook Kim
An Effective Approach to Outlier Detection Based on Centrality and Centre-Proximity. Informatica 31 (3) (2020)
Dong-Gyun Hong, Yeon-Chang Lee, Jongwuk Lee, Sang-Wook Kim
CrowdStart: Warming up cold-start items using crowdsourcing. Expert Syst. Appl. 138 (2019)
Masoud Reyhani Hamedani, Sang-Wook Kim
Pairwise normalization in SimRank variants: problem, solution, and evaluation. SAC (2019)
Jangwan Koo, Dong-Kyu Chae, Dong-Jin Kim, Sang-Wook Kim
Incremental C-Rank: An effective and efficient ranking algorithm for dynamic Web environments. Knowl. Based Syst. 176 (2019)
Hyun-Kyo Oh, Jin-Woo Kim, Sang-Wook Kim, Kichun Lee
A unified framework of trust prediction based on message passing. Clust. Comput. 22 (Suppl 1) (2019)
Suk-Jin Hong, Yun-Yong Ko, Moon Jeung Joe, Sang-Wook Kim
Influence maximization for effective advertisement in social networks: problem, solution, and evaluation. SAC (2019)
Cong Tran, Jang-Young Kim, Won-Yong Shin, Sang-Wook Kim
Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model. CoRR (2019)
Sang-Chul Lee, Sang-Wook Kim, Sunju Park, Dong-Kyu Chae
A tripartite-graph based recommendation framework for price-comparison services. Comput. Sci. Inf. Syst. 16 (2) (2019)
Jiwon Hong, Sung-Jun Park, Taeri Kim, Yung-Kyun Noh, Sang-Wook Kim, Dongphil Kim, Wonho Kim
Malware classification for identifying author groups: a graph-based approach. RACS (2019)

Sang-Wook Kim.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Sang-Wook Kim