| 2025 | ICLR | Learning Efficient Positional Encodings with Graph Neural Networks. | Charilaos I. Kanatsoulis, Evelyn Choi, Stefanie Jegelka, Jure Leskovec, Alejandro Ribeiro |
| 2025 | ICML | RelGNN: Composite Message Passing for Relational Deep Learning. | Tianlang Chen, Charilaos I. Kanatsoulis, Jure Leskovec |
| 2025 | ICML | Zero-Shot Generalization of GNNs over Distinct Attribute Domains. | Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua, Joshua Robinson, Charilaos I. Kanatsoulis, Jure Leskovec, Bruno Ribeiro |
| 2025 | KDD | Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures. | Vijay Prakash Dwivedi, Charilaos I. Kanatsoulis, Shenyang Huang, Jure Leskovec |
| 2024 | ACSSC | Online Canonical Correlation Analysis via Rayleigh-Ritz Projections. | Vassilis Kalantzis, Panagiotis A. Traganitis, Charilaos I. Kanatsoulis |
| 2024 | ICASSP | Graph Neural Networks are More Powerful than We Think. | Charilaos I. Kanatsoulis, Alejandro Ribeiro |
| 2024 | ICLR | Counting Graph Substructures with Graph Neural Networks. | Charilaos I. Kanatsoulis, Alejandro Ribeiro |
| 2023 | ACSSC | Solving Large-Scale Spatial Problems with Convolutional Neural Networks. | Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro |
| 2023 | ICASSP | Space-Time Graph Neural Networks with Stochastic Graph Perturbations. | Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro |
| 2022 | ICLR | Space-Time Graph Neural Networks. | Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro |
| 2022 | WSDM | GAGE: Geometry Preserving Attributed Graph Embeddings. | Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos |
| 2021 | SDM | TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing. | Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos |
| 2020 | ACSSC | Downlink Channel Feedback for FDD Massive MIMO Systems via Tensor Compression and Sampling. | Mohamed Salah Ibrahim, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos |
| 2020 | PAKDD | Tendi: Tensor Disaggregation from Multiple Coarse Views. | Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos |
| 2019 | ICASSP | Regular Sampling of Tensor Signals: Theory and Application to FMRI. | Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos, Mehmet Akakaya, Xiao Fu |
| 2018 | ICASSP | Large-Scale Regularized Sumcor GCCA via Penalty-Dual Decomposition. | Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong |
| 2018 | ICASSP | Hyperspectral Super-Resolution Via Coupled Tensor Factorization: Identifiability and Algorithms. | Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma |
| 2018 | ICIP | Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure. | Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma |
| 2015 | ACSSC | Max-min feasible point pursuit for non-convex QCQP. | Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos |