Namyong Park

According to our database, Namyong Park authored at least 33 papers between 2012 and 2024.

Collaborative distances:

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

2024

Forward Learning of Graph Neural Networks.

Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed

CoRR, 2024

2023

DeltaShield: Information Theory for Human- Trafficking Detection.

Catalina Vajiac, Meng-Chieh Lee, Aayushi Kulshrestha, Sacha Levy, Namyong Park, Andreas M. Olligschlaeger, Cara Jones, Reihaneh Rabbany, Christos Faloutsos

ACM Trans. Knowl. Discov. Data, February, 2023

TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking.

Catalina Vajiac, Duen Horng Chau, Andreas M. Olligschlaeger, Rebecca Mackenzie, Pratheeksha Nair, Meng-Chieh Lee, Yifei Li, Namyong Park, Reihaneh Rabbany, Christos Faloutsos

IEEE Trans. Vis. Comput. Graph., 2023

Leveraging Graph Diffusion Models for Network Refinement Tasks.

Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra

CoRR, 2023

Fairness-Aware Graph Neural Networks: A Survey.

April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed

CoRR, 2023

On Graph Time-Series Representations for Temporal Networks.

Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection.

Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning.

Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs.

Mirela Teixeira Cazzolato, Saranya Vijayakumar, Meng-Chieh Lee, Catalina Vajiac, Namyong Park, Pedro Fidalgo, Agma J. M. Traina, Christos Faloutsos

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

TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs.

Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Duen Horng Chau, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

AutoGML: Fast Automatic Model Selection for Graph Machine Learning.

Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos

CoRR, 2022

CGC: Contrastive Graph Clustering for Community Detection and Tracking.

Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos

CoRR, 2022

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking.

Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking.

Pratheeksha Nair, Yifei Li, Catalina Vajiac, Andreas M. Olligschlaeger, Meng-Chieh Lee, Namyong Park, Duen Horng Chau, Christos Faloutsos, Reihaneh Rabbany

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs.

Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs.

Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Knowledge-Guided Dynamic Systems Modeling: A Case Study on Modeling River Water Quality.

Namyong Park, Minhyeok Kim, Nguyen Xuan Hoai, Robert I. McKay, Dong-Kyun Kim

CoRR, 2021

Knowledge-Based Dynamic Systems Modeling: A Case Study on Modeling River Water Quality.

Namyong Park, Minhyeok Kim, Nguyen Xuan Hoai, Robert I. McKay, Dong-Kyun Kim

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection.

Meng-Chieh Lee, Catalina Vajiac, Aayushi Kulshrestha, Sacha Levy, Namyong Park, Cara Jones, Reihaneh Rabbany, Christos Faloutsos

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos.

Byungsoo Jeon, Namyong Park

CoRR, 2020

Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning.

Byungsoo Jeon, Namyong Park, Seojin Bang

CoRR, 2020

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals.

Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos

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

J-Recs: Principled and Scalable Recommendation Justification.

Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Fast and scalable method for distributed Boolean tensor factorization.

Namyong Park, Sejoon Oh, U Kang

VLDB J., 2019

High-Performance Tucker Factorization on Heterogeneous Platforms.

Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, U Kang

IEEE Trans. Parallel Distributed Syst., 2019

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks.

Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries.

Sejoon Oh, Namyong Park, Lee Sael, U Kang

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart.

Jinhong Jung, Namyong Park, Lee Sael, U Kang

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Fast and Scalable Distributed Boolean Tensor Factorization.

Namyong Park, Sejoon Oh, U Kang

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Partition Aware Connected Component Computation in Distributed Systems.

Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, U Kang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

BIGtensor: Mining Billion-Scale Tensor Made Easy.

Namyong Park, Byungsoo Jeon, Jungwoo Lee, U Kang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2013

Cutting evaluation costs: An investigation into early termination in genetic programming.

Namyong Park, Kangil Kim, Robert I. McKay

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Evolving the best known approximation to the Q function.

Dao Ngoc Phong, Nguyen Xuan Hoai, Robert Ian (Bob) McKay, Constantin Siriteanu, Nguyen Quang Uy, Namyong Park

Proceedings of the Genetic and Evolutionary Computation Conference, 2012