Sungsu Lim

According to our database, Sungsu Lim authored at least 41 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SiReN: Sign-Aware Recommendation Using Graph Neural Networks.

Changwon Seo, Kyeong-Joong Jeong, Sungsu Lim, Won-Yong Shin

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Experimental analysis and evaluation of cohesive subgraph discovery.

Dahee Kim, Song Kim, Jeongseon Kim, Junghoon Kim, Kaiyu Feng, Sungsu Lim, Jungeun Kim

Inf. Sci., 2024

Beyond Trivial Edges: A Fractional Approach to Cohesive Subgraph Detection in Hypergraphs.

Hyewon Kim, Woocheol Shin, Dahee Kim, Junghoon Kim, Sungsu Lim, Hyunji Jeong

CoRR, 2024

ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection.

Hwan Kim, Junghoon Kim, Sungsu Lim

CoRR, 2024

Hyperbolic Heterogeneous Graph Attention Networks.

Jongmin Park, Seunghoon Han, Soohwan Jeong, Sungsu Lim

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

mr2vec: Multiple role-based social network embedding.

Soohwan Jeong, Jongmin Park, Sungsu Lim

Pattern Recognit. Lett., December, 2023

MIGTNet: Metapath Instance-based Graph Transformation Network for heterogeneous graph embedding.

Jongmin Park, Soohwan Jeong, Byung Suk Lee, Sungsu Lim

Future Gener. Comput. Syst., December, 2023

A novel graph-based missing values imputation method for industrial lubricant data.

Soohwan Jeong, Chonghyo Joo, Jongkoo Lim, Hyungtae Cho, Sungsu Lim, Junghwan Kim

Comput. Ind., September, 2023

Effective and efficient core computation in signed networks.

Junghoon Kim, Hyun Ji Jeong, Sungsu Lim, Jungeun Kim

Inf. Sci., July, 2023

Deep Semi-supervised Anomaly Detection with Metapath-based Context Knowledge.

Hwan Kim, Junghoon Kim, Byung Suk Lee, Sungsu Lim

CoRR, 2023

A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation.

Bo-Kyeong Kim, Jaemin Kang, Daeun Seo, Hancheol Park, Shinkook Choi, Hyoung-Kyu Song, Hyungshin Kim, Sungsu Lim

CoRR, 2023

Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement.

Samuel Neumann, Sungsu Lim, Ajin George Joseph, Yangchen Pan, Adam White, Martha White

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring Cohesive Subgraphs in Hypergraphs: The (k, g)-core Approach.

Dahee Kim, Junghoon Kim, Sungsu Lim, Hyun Ji Jeong

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Performance Evaluation of Data Imputation Methods for Graph Deep Learning-Based Traffic Prediction.

Jeongseon Kim, Sungsoo Kim, Sungsu Lim

Proceedings of the IEEE International Conference on Big Data, 2023

Improved Dynamic Coupled Graph Convolutional Recurrent Networks for Traffic Forecasting.

Seunghoon Han, Sungsoo Kim, Sungsu Lim

Proceedings of the IEEE International Conference on Big Data, 2023

2022

LUEM : Local User Engagement Maximization in Networks.

Junghoon Kim, Jungeun Kim, Hyun Ji Jeong, Sungsu Lim

Knowl. Based Syst., 2022

Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences.

Alan Chan, Hugo Silva, Sungsu Lim, Tadashi Kozuno, A. Rupam Mahmood, Martha White

J. Mach. Learn. Res., 2022

OCSM : Finding overlapping cohesive subgraphs with minimum degree.

Junghoon Kim, Sungsu Lim, Jungeun Kim

Inf. Sci., 2022

Effective and Efficient Core Decomposition in Signed Networks.

Junghoon Kim, Sungsu Lim, Jungeun Kim

CoRR, 2022

LEHAN: Link-Feature Enhanced Heterogeneous Graph Attention Network.

Jongmin Park, Sungsu Lim

IEEE Access, 2022

Graph Anomaly Detection With Graph Neural Networks: Current Status and Challenges.

Hwan Kim, Byung Suk Lee, Won-Yong Shin, Sungsu Lim

IEEE Access, 2022

(p, n)-core: Core Decomposition in Signed Networks.

Junghoon Kim, Sungsu Lim

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Cluster-aware Semantic Vector Learning using BERT in Natural Language Understanding.

Sangkeun Jung, Sungsu Lim

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

2020

TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture.

Jin-Woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, Jae-Gil Lee

CoRR, 2020

Maximizing Information Gain in Partially Observable Environments via Prediction Reward.

Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White

CoRR, 2020

SSumM: Sparse Summarization of Massive Graphs.

Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Maximizing Information Gain in Partially Observable Environments via Prediction Rewards.

Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Meta-Learning on Graph with Curvature-Based Analysis (Student Abstract).

Tae Hong Moon, Sungsu Lim

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

LinkBlackHole^**: Robust Overlapping Community Detection Using Link Embedding.

Jungeun Kim, Sungsu Lim, Jae-Gil Lee, Byung Suk Lee

IEEE Trans. Knowl. Data Eng., 2019

LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding (Extended Abstract).

Jungeun Kim, Sungsu Lim, Jae-Gil Lee, Byung Suk Lee

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Actor-Expert: A Framework for using Action-Value Methods in Continuous Action Spaces.

Sungsu Lim, Ajin Joseph, Lei Le, Yangchen Pan, Martha White

CoRR, 2018

2017

Differential Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs.

Jungeun Kim, Jae-Gil Lee, Sungsu Lim

ACM Trans. Intell. Syst. Technol., 2017

2016

BlackHole: Robust community detection inspired by graph drawing.

Sungsu Lim, Junghoon Kim, Jae-Gil Lee

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

Triangle counting in networks using a multi-level branching technique.

Jungeun Kim, Minseo Kang, Sungsu Lim, Jae-Gil Lee

Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

2014

Stability of the Max-Weight Protocol in Adversarial Wireless Networks.

Sungsu Lim, Kyomin Jung, Matthew Andrews

IEEE/ACM Trans. Netw., 2014

Modelling multi-state diffusion process in complex networks: theory and applications.

Yishi Lin, John C. S. Lui, Kyomin Jung, Sungsu Lim

J. Complex Networks, 2014

LinkSCAN*: Overlapping community detection using the link-space transformation.

Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, Jae-Gil Lee

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013

Phase transition of multi-state diffusion process in networks.

Sungsu Lim, Kyomin Jung, John C. S. Lui

SIGMETRICS Perform. Evaluation Rev., 2013

Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications.

Yishi Lin, John C. S. Lui, Kyomin Jung, Sungsu Lim

Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013

2012

A study on multimedia file carving method.

Byeongyeong Yoo, Jungheum Park, Sungsu Lim, Jewan Bang, Sangjin Lee

Multim. Tools Appl., 2012

A research on the investigation method of digital forensics for a VMware Workstation's virtual machine.

Sungsu Lim, Byeongyeong Yoo, Jungheum Park, KeunDuck Byun, Sangjin Lee

Math. Comput. Model., 2012