Yulia R. Gel

According to our database, Yulia R. Gel authored at least 75 papers between 2007 and 2024.

Collaborative distances:

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

2024

When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning.

Naheed Anjum Arafat, Debabrota Basu, Yulia R. Gel, Yuzhou Chen

CoRR, 2024

Graphical Model-Based Lasso for Weakly Dependent Time Series of Tensors.

Dorcas Ofori-Boateng, Jaidev Goel, Ivor Cribben, Yulia R. Gel

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Revisiting Link Prediction with the Dowker Complex.

Jae Won Choi, Yuzhou Chen, José Frías, Joel Castillo, Yulia R. Gel

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Fragile Earth: Generative and Foundational Models for Sustainable Development.

Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence.

Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks.

Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TopoGCL: Topological Graph Contrastive Learning.

Yuzhou Chen, José Frías, Yulia R. Gel

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Seven open problems in applied combinatorics.

Sinan G. Aksoy, Ryan S. Bennink, Yuzhou Chen, José Frías, Yulia R. Gel, Bill Kay, Uwe Naumann, Carlos Ortiz Marrero, Anthony V. Petyuk, Sandip Roy, Ignacio Segovia-Dominguez, Nate Veldt, Stephen J. Young

CoRR, 2023

H²-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting.

Yuzhou Chen, Tian Jiang, Yulia R. Gel

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning.

Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification Under Graph Label Corruption.

Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Kangkook Jee, Yulia R. Gel

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

EMP: Effective Multidimensional Persistence for Graph Representation Learning.

Yuzhou Chen, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond.

Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction.

Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia R. Gel, Souma Chowdhury

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract).

Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Yulia R. Gel

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

Topological Pooling on Graphs.

Yuzhou Chen, Yulia R. Gel

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

2022

Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota.

Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu

WIREs Data Mining Knowl. Discov., 2022

TopoAttn-Nets: Topological Attention in Graph Representation Learning.

Yuzhou Chen, Elena Sizikova, Yulia R. Gel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning.

Zhiwei Zhen, Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains.

Kiarash Shamsi, Friedhelm Victor, Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery.

Andac Demir, Baris Coskunuzer, Yulia R. Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, Bulent Kiziltan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting.

Yuzhou Chen, Yulia R. Gel, H. Vincent Poor

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT.

Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting.

Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer, Yulia R. Gel

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning on Health Fairness and Environmental Justice via Interactive Visualization.

Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho

Proceedings of the IEEE International Conference on Big Data, 2022

Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets.

Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel

Proceedings of the IEEE International Conference on Big Data, 2022

Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance.

Tian Jiang, Meichen Huang, Ignacio Segovia-Dominguez, Nathaniel K. Newlands, Yulia R. Gel

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning.

Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

BScNets: Block Simplicial Complex Neural Networks.

Yuzhou Chen, Yulia R. Gel, H. Vincent Poor

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

GraphBoot: Quantifying Uncertainty in Node Feature Learning on Large Networks.

Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu, Vyacheslav Lyubchich, Bhavani Thuraisingham

IEEE Trans. Knowl. Data Eng., 2021

Depth-based classification for relational data with multiple attributes.

Xu Zhang, Yahui Tian, Guoyu Guan, Yulia R. Gel

J. Multivar. Anal., 2021

Nonparametric Anomaly Detection on Time Series of Graphs.

Dorcas Ofori-Boateng, Yulia R. Gel, Ivor Cribben

J. Comput. Graph. Stat., 2021

Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity.

Ignacio Segovia-Dominguez, Huikyo Lee, Zhiwei Zhen, Yuzhou Chen, Michael J. Garay, Daniel J. Crichton, Rishabh Wagh, Yulia R. Gel

CoRR, 2021

Smart Vectorizations for Single and Multiparameter Persistence.

Baris Coskunuzer, Cuneyt Gurcan Akcora, Ignacio Segovia-Dominguez, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel

CoRR, 2021

Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks.

Dorcas Ofori-Boateng, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions.

Ignacio Segovia-Dominguez, Zhiwei Zhen, Rishabh Wagh, Huikyo Lee, Yulia R. Gel

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Topological Relational Learning on Graphs.

Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Alphacore: Data Depth based Core Decomposition.

Friedhelm Victor, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning.

Ignacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Data Science on Blockchains.

Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting.

Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel

Proceedings of the 38th International Conference on Machine Learning, 2021

Defending against Backdoors in Federated Learning with Robust Learning Rate.

Mustafa Safa Özdayi, Murat Kantarcioglu, Yulia R. Gel

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning.

Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Topological Machine Learning Methods for Power System Responses to Contingencies.

Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Geospatial forecasting of COVID-19 spread and risk of reaching hospital capacity.

Georgiy V. Bobashev, Ignacio Segovia-Dominguez, Yulia R. Gel, James Rineer, Sarah Rhea, Hui Sui

ACM SIGSPATIAL Special, 2020

How to Not Get Caught When You Launder Money on Blockchain?

Cuneyt Gurcan Akcora, Sudhanva Purusotham, Yulia R. Gel, Mitchell Krawiec-Thayer, Murat Kantarcioglu

CoRR, 2020

A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico.

Annalisa Appice, Yulia R. Gel, Iliyan Iliev, Vyacheslav Lyubchich, Donato Malerba

IEEE Access, 2020

Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of the Ethereum Graph?

Yitao Li, Umar Islambekov, Cuneyt Gurcan Akcora, Ekaterina Smirnova, Yulia R. Gel, Murat Kantarcioglu

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain.

Cuneyt Gurcan Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

LFGCN: Levitating over Graphs with Levy Flights.

Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov

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

2019

Fusing data depth with complex networks: Community detection with prior information.

Yahui Tian, Yulia R. Gel

Comput. Stat. Data Anal., 2019

Harnessing the power of Topological Data Analysis to detect change points in time series.

Umar Islambekov, Monisha Yuvaraj, Yulia R. Gel

CoRR, 2019

Unsupervised Space-Time Clustering using Persistent Homology.

Umar Islambekov, Yulia R. Gel

CoRR, 2019

BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain.

Cuneyt Gurcan Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu

CoRR, 2019

ChainNet: Learning on Blockchain Graphs with Topological Features.

Nazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu, Umar D. Islambekov, Yahui Tian, Bhavani Thuraisingham

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Deep Learning for Improved Agricultural Risk Management.

Nathaniel K. Newlands, Azar Ghahari, Yulia R. Gel, Vyacheslav Lyubchich, Tahir Mahdi

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Assessing the Resilience of the Texas Power Grid Network.

Dorcas Ofori-Boateng, Asim Kumer Dey, Yulia R. Gel, Binghui Li, Jie Zhang, H. Vincent Poor

Proceedings of the IEEE Data Science Workshop, 2019

2018

Snowboot: Bootstrap Methods for Network Inference.

Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati

R J., 2018

Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking.

Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Todd Winship

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Forecasting Bitcoin Price with Graph Chainlets.

Cuneyt Gurcan Akcora, Asim Kumer Dey, Yulia R. Gel, Murat Kantarcioglu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Attacklets: Modeling High Dimensionality in Real World Cyberattacks.

Cuneyt Gurcan Akcora, Jonathan Z. Bakdash, Yulia R. Gel, Murat Kantarcioglu, Laura R. Marusich, Bhavani Thuraisingham

Proceedings of the 2018 IEEE International Conference on Intelligence and Security Informatics, 2018

Blockchain Data Analytics.

Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel

Proceedings of the IEEE International Conference on Data Mining, 2018

Role of Local Geometry in Robustness of Power Grid Networks.

Umar Islambekov, Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Blockchain: A Graph Primer.

Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu

CoRR, 2017

CRAD: Clustering with Robust Autocuts and Depth.

Xin Huang, Yulia R. Gel

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Motif-based analysis of power grid robustness under attacks.

Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Intentional islanding of power grids with data depth.

Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Estimation of river and stream temperature trends under haphazard sampling.

Brian R. Gray, Vyacheslav Lyubchich, Yulia R. Gel, James T. Rogala, Dale M. Robertson, Xiaoqiao Wei

Stat. Methods Appl., 2016

A local factor nonparametric test for trend synchronism in multiple time series.

Vyacheslav Lyubchich, Yulia R. Gel

J. Multivar. Anal., 2016

A distribution-free m-out-of-n bootstrap approach to testing symmetry about an unknown median.

Vyacheslav Lyubchich, Xingyu Wang, Andrew Heyes, Yulia R. Gel

Comput. Stat. Data Anal., 2016

Catching Social Butterflies: Identifying Influential Users of an Event-Based Social Networking Service.

Jonathan Popa, Kusha Nezafati, Yulia R. Gel, John Zweck, Georgiy V. Bobashev

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2013

A new surveillance and spatio-temporal visualization tool SIMID: SIMulation of Infectious Diseases using random networks and GIS.

Lilia L. Ramírez-Ramírez, Yulia R. Gel, Mary Thompson, Eileen de Villa, Matt McPherson

Comput. Methods Programs Biomed., 2013

2010

Autoregressive frequency detection using Regularized Least Squares.

Bei Chen, Yulia R. Gel

J. Multivar. Anal., 2010

Test of fit for a Laplace distribution against heavier tailed alternatives.

Yulia R. Gel

Comput. Stat. Data Anal., 2010

2007

Robust directed tests of normality against heavy-tailed alternatives.

Yulia R. Gel, Weiwen Miao, Joseph L. Gastwirth

Comput. Stat. Data Anal., 2007