John Boaz Lee

Orcid: 0000-0002-6886-2120

According to our database1, John Boaz Lee authored at least 27 papers between 2011 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
Role-Based Graph Embeddings.
IEEE Trans. Knowl. Data Eng., 2022

2021
Dynamic Node Embeddings From Edge Streams.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications.
ACM Trans. Knowl. Discov. Data, 2020

Deep Parametric Model for Discovering Group-cohesive Functional Brain Regions.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Recurrent Networks for Guided Multi-Attention Classification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Attention Models in Graphs: A Survey.
ACM Trans. Knowl. Discov. Data, 2019

From Community to Role-based Graph Embeddings.
CoRR, 2019

Temporal Network Representation Learning.
CoRR, 2019

Learning compact graph representations via an encoder-decoder network.
Appl. Netw. Sci., 2019

Graph Convolutional Networks with Motif-based Attention.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Higher-order Graph Convolutional Networks.
CoRR, 2018

Learning Role-based Graph Embeddings.
CoRR, 2018

Continuous-Time Dynamic Network Embeddings.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Graph Classification using Structural Attention.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Dynamic Network Embeddings: From Random Walks to Temporal Random Walks.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Representation Learning in Large Attributed Graphs.
CoRR, 2017

Deep Graph Attention Model.
CoRR, 2017

A Framework for Generalizing Graph-based Representation Learning Methods.
CoRR, 2017

Identifying Deep Contrasting Networks from Time Series Data: Application to Brain Network Analysis.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2016
Comparison of several short-term traffic speed forecasting models.
CoRR, 2016

2013
Patch Reviewer Recommendation in OSS Projects.
Proceedings of the 20th Asia-Pacific Software Engineering Conference, 2013

2012
Uncovering the Social Dynamics of Online Elections.
J. Univers. Comput. Sci., 2012

A Quantitative Analysis-based Algorithm for Optimal Data Signature Construction of Traffic Data Sets.
J. Inf. Process., 2012

Link Prediction in a Modified Heterogeneous Bibliographic Network.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Voting Behavior Analysis in the Election of Wikipedia Admins.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011


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