Yeon-Chang Lee

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Temporal Knowledge

Community Detection

Graph Embedding

Top Venues

Publications

Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park
SVD-AE: Simple Autoencoders for Collaborative Filtering. CoRR (2024)
Yiqiao Jin, Andrew Zhao, Yeon-Chang Lee, Meng Ye, Ajay Divakaran, Srijan Kumar
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories. CoRR (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)
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)
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)
Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar
Predicting Information Pathways Across Online Communities. CoRR (2023)
Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar
Predicting Information Pathways Across Online Communities. 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)
Bing He, Yibo Hu, Yeon-Chang Lee, Soyoung Oh, Gaurav Verma, Srijan Kumar
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators. CoRR (2023)
Min-Jeong Kim, Yeon-Chang Lee, David Y. Kang, Sang-Wook Kim
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding. CoRR (2023)
Kartik Sharma, Mohit Raghavendra, Yeon-Chang Lee, Anand Kumar M, Srijan Kumar
Representation Learning in Continuous-Time Dynamic Signed Networks. CIKM (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)
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)
Taeri Kim, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim
MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation. CIKM (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)
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)
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)
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)
Junha Park, Yeon-Chang Lee, Sang-Wook Kim
Effective and efficient negative sampling in metric learning based recommendation. Inf. Sci. 605 (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)
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)
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)
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)
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)
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)
Dong-Gyun Hong, Yeon-Chang Lee, Jongwuk Lee, Sang-Wook Kim
CrowdStart: Warming up cold-start items using crowdsourcing. Expert Syst. Appl. 138 (2019)
Kyung-Jae Cho, Yeon-Chang Lee, Kyungsik Han, Jaeho Choi, Sang-Wook Kim
No, That's Not My Feedback: TV Show Recommendation Using Watchable Interval. ICDE (2019)
Yeon-Chang Lee, Sang-Wook Kim, Dongwon Lee
gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items. AAAI (2018)
Yujin Lee, Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim
Exploiting job transition patterns for effective job recommendation. SMC (2017)
Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim
Job recommendation in AskStory: experiences, methods, and evaluation. SAC (2016)
Jongwuk Lee, Dongwon Lee, Yeon-Chang Lee, Won-Seok Hwang, Sang-Wook Kim
Improving the accuracy of top-N recommendation using a preference model. Inf. Sci. 348 (2016)
Yeon-Chang Lee, Jungwan Yeom, Kiburm Song, Jiwoon Ha, Kichun Lee, Jangho Yeo, Sang-Wook Kim
Recommendation of research papers in DBpia: A Hybrid approach exploiting content and collaborative data. SMC (2016)
Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim, Sheng Gao, Ji-Yong Hwang
On Recommending Job Openings. HT (2015)