Namyong Park

Orcid: 0000-0002-3344-2361

According to our database1, Namyong Park authored at least 35 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fairness-Aware Graph Neural Networks: A Survey.
ACM Trans. Knowl. Discov. Data, July, 2024

Large Generative Graph Models.
CoRR, 2024

Editing Partially Observable Networks via Graph Diffusion Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Forward Learning of Graph Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
DeltaShield: Information Theory for Human- Trafficking Detection.
ACM Trans. Knowl. Discov. Data, February, 2023

TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking.
IEEE Trans. Vis. Comput. Graph., 2023

Leveraging Graph Diffusion Models for Network Refinement Tasks.
CoRR, 2023

On Graph Time-Series Representations for Temporal Networks.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
AutoGML: Fast Automatic Model Selection for Graph Machine Learning.
CoRR, 2022

CGC: Contrastive Graph Clustering for Community Detection and Tracking.
CoRR, 2022

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking.
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.
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.
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.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Knowledge-Guided Dynamic Systems Modeling: A Case Study on Modeling River Water Quality.
CoRR, 2021

Knowledge-Based Dynamic Systems Modeling: A Case Study on Modeling River Water Quality.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection.
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.
CoRR, 2020

Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning.
CoRR, 2020

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

J-Recs: Principled and Scalable Recommendation Justification.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Fast and scalable method for distributed Boolean tensor factorization.
VLDB J., 2019

High-Performance Tucker Factorization on Heterogeneous Platforms.
IEEE Trans. Parallel Distributed Syst., 2019

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries.
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.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Fast and Scalable Distributed Boolean Tensor Factorization.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Partition Aware Connected Component Computation in Distributed Systems.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

BIGtensor: Mining Billion-Scale Tensor Made Easy.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Evolving the best known approximation to the Q function.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012


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