Namyong Park

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 40

Top Topics

Automatic Model Selection

Anomaly Detection

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed
Forward Learning of Graph Neural Networks. ICLR (2024)
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
Fairness-Aware Graph Neural Networks: A Survey. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed
Forward Learning of Graph Neural Networks. CoRR (2024)
Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. CoRR (2024)
Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
Large Generative Graph Models. CoRR (2024)
Catalina Vajiac, Meng-Chieh Lee, Aayushi Kulshrestha, Sacha Levy, Namyong Park, Andreas M. Olligschlaeger, Cara Jones, Reihaneh Rabbany, Christos Faloutsos
DeltaShield: Information Theory for Human- Trafficking Detection. ACM Trans. Knowl. Discov. Data 17 (2) (2023)
Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. ICLR (2023)
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
Fairness-Aware Graph Neural Networks: A Survey. CoRR (2023)
Mirela Teixeira Cazzolato, Saranya Vijayakumar, Meng-Chieh Lee, Catalina Vajiac, Namyong Park, Pedro Fidalgo, Agma J. M. Traina, Christos Faloutsos
CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs. CIKM (2023)
Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra
Leveraging Graph Diffusion Models for Network Refinement Tasks. CoRR (2023)
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
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. AAAI (2023)
Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. NeurIPS (2023)
Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park
On Graph Time-Series Representations for Temporal Networks. WWW (Companion Volume) (2023)
Catalina Vajiac, Duen Horng Chau, Andreas M. Olligschlaeger, Rebecca Mackenzie, Pratheeksha Nair, Meng-Chieh Lee, Yifei Li, Namyong Park, Reihaneh Rabbany, Christos Faloutsos
TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos
TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. Big Data (2022)
Pratheeksha Nair, Yifei Li, Catalina Vajiac, Andreas M. Olligschlaeger, Meng-Chieh Lee, Namyong Park, Duen Horng Chau, Christos Faloutsos, Reihaneh Rabbany
VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking. WWW (Companion Volume) (2022)
Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. WWW (2022)
Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos
CGC: Contrastive Graph Clustering for Community Detection and Tracking. CoRR (2022)
Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. WSDM (2022)
Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. CoRR (2022)
Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos
AutoGML: Fast Automatic Model Selection for Graph Machine Learning. CoRR (2022)
Namyong Park, Minhyeok Kim, Nguyen Xuan Hoai, Robert I. McKay, Dong-Kyun Kim
Knowledge-Guided Dynamic Systems Modeling: A Case Study on Modeling River Water Quality. CoRR (2021)
Meng-Chieh Lee, Catalina Vajiac, Aayushi Kulshrestha, Sacha Levy, Namyong Park, Cara Jones, Reihaneh Rabbany, Christos Faloutsos
INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection. ICDE (2021)
Namyong Park, Minhyeok Kim, Nguyen Xuan Hoai, Robert I. McKay, Dong-Kyun Kim
Knowledge-Based Dynamic Systems Modeling: A Case Study on Modeling River Water Quality. ICDE (2021)
Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong
J-Recs: Principled and Scalable Recommendation Justification. CoRR (2020)
Byungsoo Jeon, Namyong Park, Seojin Bang
Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning. CoRR (2020)
Byungsoo Jeon, Namyong Park
Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos. CoRR (2020)
Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. KDD (2020)
Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. CoRR (2020)
Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong
J-Recs: Principled and Scalable Recommendation Justification. ICDM (2020)
Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. CoRR (2019)
Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. KDD (2019)
Namyong Park, Sejoon Oh, U Kang
Fast and scalable method for distributed Boolean tensor factorization. VLDB J. 28 (4) (2019)
Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, U Kang
High-Performance Tucker Factorization on Heterogeneous Platforms. IEEE Trans. Parallel Distributed Syst. 30 (10) (2019)
Sejoon Oh, Namyong Park, Lee Sael, U Kang
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. ICDE (2018)
Namyong Park, Sejoon Oh, U Kang
Fast and Scalable Distributed Boolean Tensor Factorization. ICDE (2017)
Sejoon Oh, Namyong Park, Lee Sael, U Kang
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. CoRR (2017)
Jinhong Jung, Namyong Park, Lee Sael, U Kang
BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart. SIGMOD Conference (2017)
Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, U Kang
Partition Aware Connected Component Computation in Distributed Systems. ICDM (2016)
Namyong Park, Byungsoo Jeon, Jungwoo Lee, U Kang
BIGtensor: Mining Billion-Scale Tensor Made Easy. CIKM (2016)
Namyong Park, Kangil Kim, Robert I. McKay
Cutting evaluation costs: An investigation into early termination in genetic programming. IEEE Congress on Evolutionary Computation (2013)
Dao Ngoc Phong, Nguyen Xuan Hoai, Robert Ian (Bob) McKay, Constantin Siriteanu, Nguyen Quang Uy, Namyong Park
Evolving the best known approximation to the Q function. GECCO (2012)