Yeon-Chang Lee
Orcid: 0000-0002-8769-0678
According to our database1,
Yeon-Chang Lee
authored at least 40 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
ACM Comput. Surv., October, 2024
Learning to compensate for lack of information: Extracting latent knowledge for effective temporal knowledge graph completion.
Inf. Sci., January, 2024
CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship.
CoRR, 2024
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
PolarDSN: An Inductive Approach to Learning the Evolution of Network Polarization in Dynamic Signed Networks.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
A Framework for Accurate Community Detection on Signed Networks Using Adversarial Learning.
IEEE Trans. Knowl. Data Eng., November, 2023
Uninteresting Items: Concept and Its Application to Effective Collaborative Filtering in Recommender Systems.
SIGWEB Newsl., 2023
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators.
CoRR, 2023
CoRR, 2023
Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding.
Proceedings of the ACM Web Conference 2023, 2023
TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Inf. Sci., 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Exploiting uninteresting items for effective graph-based one-class collaborative filtering.
J. Supercomput., 2021
M-BPR: A novel approach to improving BPR for recommendation with multi-type pair-wise preferences.
Inf. Sci., 2021
Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021
2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Are Negative Links Really Beneficial to Network Embedding?: In-Depth Analysis and Interesting Results.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Graph-Theoretic One-Class Collaborative Filtering using Signed Random Walk with Restart.
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020
2019
Expert Syst. Appl., 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
2018
gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
2016
Inf. Sci., 2016
Recommendation of research papers in DBpia: A Hybrid approach exploiting content and collaborative data.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
2015
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015