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ORCIDYulia R. Gel
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2020 – today
- 2024
[c51]Yuzhou Chen, José Frías, Yulia R. Gel:
TopoGCL: Topological Graph Contrastive Learning. AAAI 2024: 11453-11461- [c50]Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel:
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks. AAAI 2024: 11561-11569 - [c49]Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel:
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. AAAI 2024: 11678-11686 - [c48]Emre Eftelioglu
, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao:
Fragile Earth: Generative and Foundational Models for Sustainable Development. KDD 2024: 6710-6711 - [c47]Jae Won Choi, Yuzhou Chen, José Frías, Joel Castillo, Yulia R. Gel:
Revisiting Link Prediction with the Dowker Complex. PAKDD (2) 2024: 418-430 - [c46]Dorcas Ofori-Boateng, Jaidev Goel, Ivor Cribben, Yulia R. Gel:
Graphical Model-Based Lasso for Weakly Dependent Time Series of Tensors. ECML/PKDD (5) 2024: 249-264 - [i28]Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel:
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. CoRR abs/2401.13157 (2024) - [i27]Ignacio Segovia-Dominguez, Yuzhou Chen, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer:
EMP: Effective Multidimensional Persistence for Graph Representation Learning. CoRR abs/2401.13713 (2024) - [i26]Yuzhou Chen, José Frías, Yulia R. Gel:
TopoGCL: Topological Graph Contrastive Learning. CoRR abs/2406.17251 (2024) - [i25]Naheed Anjum Arafat, Debabrota Basu, Yulia R. Gel, Yuzhou Chen:
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning. CoRR abs/2409.14161 (2024) - 2023
- [c45]Yuzhou Chen, Yulia R. Gel:
Topological Pooling on Graphs. AAAI 2023: 7096-7103 - [c44]Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Yulia R. Gel:
Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract). AAAI 2023: 16386-16387 - [c43]Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia R. Gel, Souma Chowdhury:
Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction. ICRA 2023: 5779-5785 - [c42]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:
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. KDD 2023: 5845-5846 - [c41]Yuzhou Chen, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer:
EMP: Effective Multidimensional Persistence for Graph Representation Learning. LoG 2023: 24 - [c40]Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Kangkook Jee, Yulia R. Gel:
United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification Under Graph Label Corruption. LoG 2023: 30 - [c39]Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel:
Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning. PAKDD (1) 2023: 123-134 - [c38]Yuzhou Chen, Tian Jiang, Yulia R. Gel:
H2-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting. ECML/PKDD (5) 2023: 271-289 - [i24]Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia R. Gel, Souma Chowdhury:
Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction. CoRR abs/2303.08933 (2023) - [i23]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:
Seven open problems in applied combinatorics. CoRR abs/2303.11464 (2023) - [i22]Yuzhou Chen, Yulia R. Gel:
Topological Pooling on Graphs. CoRR abs/2303.14543 (2023) - 2022
- [j15]Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu:
Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota. WIREs Data Mining Knowl. Discov. 12(1) (2022) - [c37]Yuzhou Chen, Yulia R. Gel, H. Vincent Poor:
BScNets: Block Simplicial Complex Neural Networks. AAAI 2022: 6333-6341 - [c36]Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel:
TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning. AAAI 2022: 12468-12474 - [c35]Tian Jiang, Meichen Huang, Ignacio Segovia-Dominguez, Nathaniel K. Newlands, Yulia R. Gel:
Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance. AAAI 2022: 12538-12544 - [c34]Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho:
Learning on Health Fairness and Environmental Justice via Interactive Visualization. IEEE Big Data 2022: 784-791 - [c33]Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel:
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. IEEE Big Data 2022: 1793-1800 - [c32]Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer, Yulia R. Gel:
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting. ICLR 2022 - [c31]Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer:
Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT. NeurIPS 2022 - [c30]Yuzhou Chen, Yulia R. Gel, H. Vincent Poor:
Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting. NeurIPS 2022 - [c29]Andac Demir, Baris Coskunuzer, Yulia R. Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, Bulent Kiziltan:
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. NeurIPS 2022 - [c28]Kiarash Shamsi, Friedhelm Victor, Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora:
Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains. NeurIPS 2022 - [c27]Zhiwei Zhen, Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel:
Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning. PAKDD (2) 2022: 511-525 - [c26]Yuzhou Chen, Elena Sizikova, Yulia R. Gel:
TopoAttn-Nets: Topological Attention in Graph Representation Learning. ECML/PKDD (2) 2022: 309-325 - [i21]Andac Demir, Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel, Bulent Kiziltan:
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. CoRR abs/2211.03808 (2022) - [i20]Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel:
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. CoRR abs/2211.07645 (2022) - [i19]Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho:
Learning on Health Fairness and Environmental Justice via Interactive Visualization. CoRR abs/2211.09967 (2022) - [i18]Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer:
Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT. CoRR abs/2211.13708 (2022) - 2021
- [j14]Dorcas Ofori-Boateng, Yulia R. Gel, Ivor Cribben:
Nonparametric Anomaly Detection on Time Series of Graphs. J. Comput. Graph. Stat. 30(3): 756-767 (2021) - [j13]Xu Zhang, Yahui Tian, Guoyu Guan, Yulia R. Gel:
Depth-based classification for relational data with multiple attributes. J. Multivar. Anal. 184: 104732 (2021) - [j12]Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu, Vyacheslav Lyubchich, Bhavani Thuraisingham:
GraphBoot: Quantifying Uncertainty in Node Feature Learning on Large Networks. IEEE Trans. Knowl. Data Eng. 33(1): 116-127 (2021) - [c25]Mustafa Safa Özdayi, Murat Kantarcioglu, Yulia R. Gel:
Defending against Backdoors in Federated Learning with Robust Learning Rate. AAAI 2021: 9268-9276 - [c24]Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel:
Topological Machine Learning Methods for Power System Responses to Contingencies. AAAI 2021: 15262-15269 - [c23]Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel:
Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning. AAAI 2021: 15278-15285 - [c22]Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel:
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. ICML 2021: 1684-1694 - [c21]Friedhelm Victor, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu:
Alphacore: Data Depth based Core Decomposition. KDD 2021: 1625-1633 - [c20]Ignacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel:
Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning. KDD 2021: 3540-3548 - [c19]Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel:
Data Science on Blockchains. KDD 2021: 4025-4026 - [c18]Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel:
Topological Relational Learning on Graphs. NeurIPS 2021: 27029-27042 - [c17]Ignacio Segovia-Dominguez, Zhiwei Zhen, Rishabh Wagh, Huikyo Lee, Yulia R. Gel:
TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions. PAKDD (1) 2021: 201-212 - [c16]Dorcas Ofori-Boateng, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel:
Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks. ECML/PKDD (1) 2021: 788-804 - [i17]Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel:
Blockchain Networks: Data Structures of Bitcoin, Monero, Zcash, Ethereum, Ripple and Iota. CoRR abs/2103.08712 (2021) - [i16]Baris Coskunuzer, Cuneyt Gurcan Akcora, Ignacio Segovia-Dominguez, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel:
Smart Vectorizations for Single and Multiparameter Persistence. CoRR abs/2104.04787 (2021) - [i15]Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel:
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. CoRR abs/2105.04100 (2021) - [i14]Dorcas Ofori-Boateng, Ignacio Segovia-Dominguez, Murat Kantarcioglu, Cuneyt Gurcan Akcora, Yulia R. Gel:
Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks. CoRR abs/2106.01806 (2021) - [i13]Ignacio Segovia-Dominguez, Huikyo Lee, Zhiwei Zhen, Yuzhou Chen, Michael J. Garay, Daniel J. Crichton, Rishabh Wagh, Yulia R. Gel:
Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity. CoRR abs/2110.10849 (2021) - [i12]Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel:
Topological Relational Learning on Graphs. CoRR abs/2110.15529 (2021) - [i11]Yuzhou Chen, Yulia R. Gel, H. Vincent Poor:
BScNets: Block Simplicial Complex Neural Networks. CoRR abs/2112.06826 (2021) - 2020
- [j11]Annalisa Appice, Yulia R. Gel, Iliyan Iliev, Vyacheslav Lyubchich, Donato Malerba:
A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico. IEEE Access 8: 52713-52725 (2020) - [j10]Georgiy V. Bobashev, Ignacio Segovia-Dominguez, Yulia R. Gel, James Rineer, Sarah Rhea, Hui Sui:
Geospatial forecasting of COVID-19 spread and risk of reaching hospital capacity. ACM SIGSPATIAL Special 12(2): 25-32 (2020) - [c15]Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov:
LFGCN: Levitating over Graphs with Levy Flights. ICDM 2020: 960-965 - [c14]Cuneyt Gurcan Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu:
BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain. IJCAI 2020: 4439-4445 - [c13]Yitao Li, Umar Islambekov, Cuneyt Gurcan Akcora, Ekaterina Smirnova, Yulia R. Gel, Murat Kantarcioglu:
Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of the Ethereum Graph? SDM 2020: 523-531 - [i10]Mustafa Safa Özdayi, Murat Kantarcioglu, Yulia R. Gel:
Defending Against Backdoors in Federated Learning with Robust Learning Rate. CoRR abs/2007.03767 (2020) - [i9]Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov:
LFGCN: Levitating over Graphs with Levy Flights. CoRR abs/2009.02365 (2020) - [i8]Cuneyt Gurcan Akcora, Sudhanva Purusotham, Yulia R. Gel, Mitchell Krawiec-Thayer, Murat Kantarcioglu:
How to Not Get Caught When You Launder Money on Blockchain? CoRR abs/2010.15082 (2020)
2010 – 2019
- 2019
- [j9]Yahui Tian, Yulia R. Gel:
Fusing data depth with complex networks: Community detection with prior information. Comput. Stat. Data Anal. 139: 99-116 (2019) - [c12]Dorcas Ofori-Boateng, Asim Kumer Dey, Yulia R. Gel, Binghui Li, Jie Zhang, H. Vincent Poor:
Assessing the Resilience of the Texas Power Grid Network. DSW 2019: 280-284 - [c11]Nathaniel K. Newlands, Azar Ghahari, Yulia R. Gel, Vyacheslav Lyubchich, Tahir Mahdi:
Deep Learning for Improved Agricultural Risk Management. HICSS 2019: 1-10 - [c10]Nazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu, Umar D. Islambekov, Yahui Tian, Bhavani Thuraisingham:
ChainNet: Learning on Blockchain Graphs with Topological Features. ICDM 2019: 946-951 - [i7]Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati:
Snowboot: Bootstrap Methods for Network Inference. CoRR abs/1902.09029 (2019) - [i6]Cuneyt Gurcan Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu:
BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain. CoRR abs/1906.07852 (2019) - [i5]Nazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel, Umar D. Islambekov, Murat Kantarcioglu, Yahui Tian, Bhavani Thuraisingham:
ChainNet: Learning on Blockchain Graphs with Topological Features. CoRR abs/1908.06971 (2019) - [i4]Umar Islambekov, Yulia R. Gel:
Unsupervised Space-Time Clustering using Persistent Homology. CoRR abs/1910.11525 (2019) - [i3]Umar Islambekov, Monisha Yuvaraj, Yulia R. Gel:
Harnessing the power of Topological Data Analysis to detect change points in time series. CoRR abs/1910.12939 (2019) - [i2]Yitao Li, Umar Islambekov, Cuneyt Gurcan Akcora, Ekaterina Smirnova, Yulia R. Gel, Murat Kantarcioglu:
Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph. CoRR abs/1912.10105 (2019) - 2018
- [j8]Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati:
Snowboot: Bootstrap Methods for Network Inference. R J. 10(2): 95 (2018) - [c9]Umar Islambekov, Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor:
Role of Local Geometry in Robustness of Power Grid Networks. GlobalSIP 2018: 885-889 - [c8]Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel:
Blockchain Data Analytics. ICDM 2018: 6 - [c7]Cuneyt Gurcan Akcora, Jonathan Z. Bakdash, Yulia R. Gel, Murat Kantarcioglu, Laura R. Marusich, Bhavani Thuraisingham:
Attacklets: Modeling High Dimensionality in Real World Cyberattacks. ISI 2018: 55-57 - [c6]Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Todd Winship:
Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking. PAKDD (1) 2018: 373-385 - [c5]Cuneyt Gurcan Akcora, Asim Kumer Dey, Yulia R. Gel, Murat Kantarcioglu:
Forecasting Bitcoin Price with Graph Chainlets. PAKDD (3) 2018: 765-776 - 2017
- [c4]Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor:
Intentional islanding of power grids with data depth. CAMSAP 2017: 1-5 - [c3]Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor:
Motif-based analysis of power grid robustness under attacks. GlobalSIP 2017: 1015-1019 - [c2]Xin Huang, Yulia R. Gel:
CRAD: Clustering with Robust Autocuts and Depth. ICDM 2017: 925-930 - [i1]Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu:
Blockchain: A Graph Primer. CoRR abs/1708.08749 (2017) - 2016
- [j7]Vyacheslav Lyubchich, Xingyu Wang, Andrew Heyes, Yulia R. Gel:
A distribution-free m-out-of-n bootstrap approach to testing symmetry about an unknown median. Comput. Stat. Data Anal. 104: 1-9 (2016) - [j6]Vyacheslav Lyubchich, Yulia R. Gel:
A local factor nonparametric test for trend synchronism in multiple time series. J. Multivar. Anal. 150: 91-104 (2016) - [j5]Brian R. Gray, Vyacheslav Lyubchich, Yulia R. Gel, James T. Rogala, Dale M. Robertson, Xiaoqiao Wei:
Estimation of river and stream temperature trends under haphazard sampling. Stat. Methods Appl. 25(1): 89-105 (2016) - [c1]Jonathan Popa, Kusha Nezafati, Yulia R. Gel, John Zweck, Georgiy V. Bobashev:
Catching Social Butterflies: Identifying Influential Users of an Event-Based Social Networking Service. BigData Congress 2016: 198-205 - 2013
- [j4]Lilia L. Ramírez-Ramírez, Yulia R. Gel, Mary Thompson, Eileen de Villa, Matt McPherson:
A new surveillance and spatio-temporal visualization tool SIMID: SIMulation of Infectious Diseases using random networks and GIS. Comput. Methods Programs Biomed. 110(3): 455-470 (2013) - 2010
- [j3]Yulia R. Gel:
Test of fit for a Laplace distribution against heavier tailed alternatives. Comput. Stat. Data Anal. 54(4): 958-965 (2010) - [j2]Bei Chen, Yulia R. Gel:
Autoregressive frequency detection using Regularized Least Squares. J. Multivar. Anal. 101(7): 1712-1727 (2010)
2000 – 2009
- 2007
- [j1]Yulia R. Gel, Weiwen Miao, Joseph L. Gastwirth:
Robust directed tests of normality against heavy-tailed alternatives. Comput. Stat. Data Anal. 51(5): 2734-2746 (2007)
Coauthor Index
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