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2020 – today
- 2024
[j5]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): 138:1-138:23 (2024)- [c23]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 - [c22]Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Editing Partially Observable Networks via Graph Diffusion Models. ICML 2024 - [i15]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 abs/2403.11004 (2024) - [i14]Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos:
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. CoRR abs/2404.01578 (2024) - [i13]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 abs/2406.05109 (2024) - 2023
- [j4]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): 28:1-28:27 (2023) - [j3]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): 53-62 (2023) - [c21]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: 16410-16412 - [c20]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: 4509-4515 - [c19]Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos:
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. ICLR 2023 - [c18]Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos:
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. NeurIPS 2023 - [c17]Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park:
On Graph Time-Series Representations for Temporal Networks. WWW (Companion Volume) 2023: 14-18 - [i12]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 abs/2307.03929 (2023) - [i11]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 abs/2311.17856 (2023) - 2022
- [c16]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. IEEE Big Data 2022: 2214-2217 - [c15]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: 794-803 - [c14]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: 273-277 - [c13]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: 1115-1126 - [i10]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 abs/2202.07648 (2022) - [i9]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 abs/2204.08504 (2022) - [i8]Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos:
AutoGML: Fast Automatic Model Selection for Graph Machine Learning. CoRR abs/2206.09280 (2022) - 2021
- [c12]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: 1116-1127 - [c11]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: 2231-2236 - [i7]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 abs/2103.00792 (2021) - 2020
- [c10]Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong:
J-Recs: Principled and Scalable Recommendation Justification. ICDM 2020: 1208-1213 - [c9]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: 503-512 - [i6]Byungsoo Jeon, Namyong Park, Seojin Bang:
Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning. CoRR abs/2002.01598 (2020) - [i5]Byungsoo Jeon, Namyong Park:
Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos. CoRR abs/2002.01955 (2020) - [i4]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. CoRR abs/2006.12001 (2020) - [i3]Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong:
J-Recs: Principled and Scalable Recommendation Justification. CoRR abs/2011.05928 (2020)
2010 – 2019
- 2019
- [j2]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): 2237-2248 (2019) - [j1]Namyong Park, Sejoon Oh, U Kang:
Fast and scalable method for distributed Boolean tensor factorization. VLDB J. 28(4): 549-574 (2019) - [c8]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. KDD 2019: 596-606 - [i2]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. CoRR abs/1905.08865 (2019) - 2018
- [c7]Sejoon Oh, Namyong Park, Lee Sael, U Kang:
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. ICDE 2018: 1120-1131 - 2017
- [c6]Namyong Park, Sejoon Oh, U Kang:
Fast and Scalable Distributed Boolean Tensor Factorization. ICDE 2017: 1071-1082 - [c5]Jinhong Jung, Namyong Park, Lee Sael, U Kang:
BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart. SIGMOD Conference 2017: 789-804 - [i1]Sejoon Oh, Namyong Park, Lee Sael, U Kang:
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. CoRR abs/1710.02261 (2017) - 2016
- [c4]Namyong Park, Byungsoo Jeon, Jungwoo Lee, U Kang:
BIGtensor: Mining Billion-Scale Tensor Made Easy. CIKM 2016: 2457-2460 - [c3]Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, U Kang:
Partition Aware Connected Component Computation in Distributed Systems. ICDM 2016: 420-429 - 2013
- [c2]Namyong Park, Kangil Kim, Robert I. McKay:
Cutting evaluation costs: An investigation into early termination in genetic programming. IEEE Congress on Evolutionary Computation 2013: 3291-3298 - 2012
- [c1]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: 807-814
Coauthor Index
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last updated on 2024-09-04 01:21 CEST by the dblp team
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