Charilaos I. Kanatsoulis

51 papers A* 5A 2B 1Misc 8Journal 28Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Position: Message-passing and spectral GNNs are two sides of the same coin.
CoRR
Antonis Vasileiou, Juan Cerviño, Pascal Frossard, Charilaos I. Kanatsoulis, Christopher Morris, Michael T. Schaub, Pierre Vandergheynst, Zhiyang Wang, Guy Wolf, Ron Levie
2026 J jnl
RelBench v2: A Large-Scale Benchmark and Repository for Relational Data.
CoRR
Justin Gu, Rishabh Ranjan, Charilaos I. Kanatsoulis, Haiming Tang, Martin Jurkovic, Valter Hudovernik, Mark Znidar, Pranshu Chaturvedi, Parth Shroff, Fengyu Li, Jure Leskovec
2025 J jnl
KGGen: Extracting Knowledge Graphs from Plain Text with Language Models.
CoRR
Belinda Mo, Kyssen Yu, Joshua Kazdan, Proud Mpala, Lisa Yu, Chris Cundy, Charilaos I. Kanatsoulis, Sanmi Koyejo
2025 A* conf
Learning Efficient Positional Encodings with Graph Neural Networks.
ICLR
Charilaos I. Kanatsoulis, Evelyn Choi, Stefanie Jegelka, Jure Leskovec, Alejandro Ribeiro
2025 J jnl
Learning Efficient Positional Encodings with Graph Neural Networks.
CoRR
Charilaos I. Kanatsoulis, Evelyn Choi, Stephanie Jegelka, Jure Leskovec, Alejandro Ribeiro
2025 A* conf
RelGNN: Composite Message Passing for Relational Deep Learning.
ICML
Tianlang Chen, Charilaos I. Kanatsoulis, Jure Leskovec
2025 J jnl
RelGNN: Composite Message Passing for Relational Deep Learning.
CoRR
Tianlang Chen, Charilaos I. Kanatsoulis, Jure Leskovec
2025 — conf
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures.
KDD (2)
Vijay Prakash Dwivedi, Charilaos I. Kanatsoulis, Shenyang Huang, Jure Leskovec
2025 J jnl
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures.
CoRR
Vijay Prakash Dwivedi, Charilaos I. Kanatsoulis, Shenyang Huang, Jure Leskovec
2025 J jnl
Relational Graph Transformer.
CoRR
Vijay Prakash Dwivedi, Sri Jaladi, Yangyi Shen, Federico López, Charilaos I. Kanatsoulis, Rishi Puri, Matthias Fey, Jure Leskovec
2025 J jnl
Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data.
CoRR
Rishabh Ranjan, Valter Hudovernik, Mark Znidar, Charilaos I. Kanatsoulis, Roshan Upendra, Mahmoud Mohammadi, Joe Meyer, Tom Palczewski, Carlos Guestrin, Jure Leskovec
2025 J jnl
WindMiL: Equivariant Graph Learning for Wind Loading Prediction.
CoRR
Themistoklis Vargiemezis, Charilaos I. Kanatsoulis, Catherine Gorlé
2025 A* conf
Zero-Shot Generalization of GNNs over Distinct Attribute Domains.
ICML
Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua, Joshua Robinson, Charilaos I. Kanatsoulis, Jure Leskovec, Bruno Ribeiro
2024 — conf
A Graph Autoencoder Approach to Crowdsourcing.
SAM
Panagiotis A. Traganitis, Charilaos I. Kanatsoulis
2024 A* conf
Counting Graph Substructures with Graph Neural Networks.
ICLR
Charilaos I. Kanatsoulis, Alejandro Ribeiro
2024 J jnl
Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning.
CoRR
Shreyas Muthusamy, Damian Owerko, Charilaos I. Kanatsoulis, Saurav Agarwal, Alejandro Ribeiro
2024 Misc conf
Graph Neural Networks are More Powerful than We Think.
ICASSP
Charilaos I. Kanatsoulis, Alejandro Ribeiro
2024 J jnl
LoRTA: Low Rank Tensor Adaptation of Large Language Models.
CoRR
Ignacio Hounie, Charilaos I. Kanatsoulis, Arnuv Tandon, Alejandro Ribeiro
2024 — conf
Online Canonical Correlation Analysis via Rayleigh-Ritz Projections.
IEEECONF
Vassilis Kalantzis, Panagiotis A. Traganitis, Charilaos I. Kanatsoulis
2024 — conf
T-Gae: Transferable Graph Autoencoder for Network Alignment.
LoG
Jiashu He, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2023 — conf
Multi-Target Tracking with Transferable Convolutional Neural Networks.
CAMSAP
Damian Owerko, Charilaos I. Kanatsoulis, Jennifer Bondarchuk, Donald J. Bucci, Alejandro Ribeiro
2023 J jnl
Network Alignment with Transferable Graph Autoencoders.
CoRR
Jiashu He, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2023 Misc conf
Solving Large-Scale Spatial Problems with Convolutional Neural Networks.
ACSSC
Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2023 J jnl
Solving Large-scale Spatial Problems with Convolutional Neural Networks.
CoRR
Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2023 Misc conf
Space-Time Graph Neural Networks with Stochastic Graph Perturbations.
ICASSP
Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2023 J jnl
Transferability of Convolutional Neural Networks in Stationary Learning Tasks.
CoRR
Damian Owerko, Charilaos I. Kanatsoulis, Jennifer Bondarchuk, Donald J. Bucci Jr., Alejandro Ribeiro
2022 J jnl
Deep Convolutional Neural Networks for Multi-Target Tracking: A Transfer Learning Approach.
CoRR
Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro, Donald J. Bucci Jr., Jennifer Bondarchuk
2022 A conf
GAGE: Geometry Preserving Attributed Graph Embeddings.
WSDM
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
2022 J jnl
Graph Neural Networks Are More Powerful Than we Think.
CoRR
Charilaos I. Kanatsoulis, Alejandro Ribeiro
2022 J jnl
Space-Time Graph Neural Networks with Stochastic Graph Perturbations.
CoRR
Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2022 A* conf
Space-Time Graph Neural Networks.
ICLR
Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2021 J jnl
Generalized Canonical Correlation Analysis: A Subspace Intersection Approach.
IEEE Trans. Signal Process.
Mikael Sørensen, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
2021 J jnl
Prema: Principled Tensor Data Recovery From Multiple Aggregated Views.
IEEE J. Sel. Top. Signal Process.
Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
2021 J jnl
Space-Time Graph Neural Networks.
CoRR
Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2021 A conf
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing.
SDM
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
2020 Misc conf
Downlink Channel Feedback for FDD Massive MIMO Systems via Tensor Compression and Sampling.
ACSSC
Mohamed Salah Ibrahim, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
2020 J jnl
GAGE: Geometry Preserving Attributed Graph Embeddings.
CoRR
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
2020 J jnl
Generalized Canonical Correlation Analysis: A Subspace Intersection Approach.
CoRR
Mikael Sørensen, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
2020 J jnl
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing.
CoRR
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
2020 — conf
Tendi: Tensor Disaggregation from Multiple Coarse Views.
PAKDD (2)
Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
2020 J jnl
Tensor Completion From Regular Sub-Nyquist Samples.
IEEE Trans. Signal Process.
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mehmet Akçakaya
2019 — conf
Large-scale Canonical Polyadic Decomposition via Regular Tensor Sampling.
EUSIPCO
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
2019 J jnl
PREMA: Principled Tensor Data Recovery from Multiple Aggregated Views.
CoRR
Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
2019 Misc conf
Regular Sampling of Tensor Signals: Theory and Application to FMRI.
ICASSP
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos, Mehmet Akçakaya, Xiao Fu
2019 J jnl
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data.
IEEE Trans. Signal Process.
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2018 Misc conf
Hyperspectral Super-Resolution Via Coupled Tensor Factorization: Identifiability and Algorithms.
ICASSP
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma
2018 J jnl
Hyperspectral Super-Resolution: A Coupled Tensor Factorization Approach.
IEEE Trans. Signal Process.
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma
2018 B conf
Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure.
ICIP
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma
2018 Misc conf
Large-Scale Regularized Sumcor GCCA via Penalty-Dual Decomposition.
ICASSP
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2018 J jnl
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data.
CoRR
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2015 Misc conf
Max-min feasible point pursuit for non-convex QCQP.
ACSSC
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos