Simultaneous Graph Learning and Blind Separation of Graph Signal Sources. - Aref Einizade; Sepideh Hajipour Sardouie; Mohammad B. Shamsollahi (IEEE Signal Process. Lett., 2021)

Estimation of a Causal Directed Acyclic Graph Process using Non-Gaussianity. - Aref Einizade; Sepideh Hajipour Sardouie (CoRR, 2022)

Robust blind separation of smooth graph signals using minimization of graph regularized mutual information. - Aref Einizade; Sepideh Hajipour Sardouie (Digit. Signal Process., 2022)

A Unified Approach for Simultaneous Graph Learning and Blind Separation of Graph Signal Sources. - Aref Einizade; Sepideh Hajipour Sardouie (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Explainable automated seizure detection using attentive deep multi-view networks. - Aref Einizade; Samaneh Nasiri; Mohsen Mozafari; Sepideh Hajipour Sardouie; Gari D. Clifford (Biomed. Signal Process. Control., 2023)

Kernel-based Joint Multiple Graph Learning and Clustering of Graph Signals. - Mohamad H. Alizade; Aref Einizade (CoRR, 2023)

Joint Graph Learning and Blind Separation of Smooth Graph Signals Using Minimization of Mutual Information and Laplacian Quadratic Forms. - Aref Einizade; Sepideh Hajipour Sardouie (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Learning Product Graphs From Spectral Templates. - Aref Einizade; Sepideh Hajipour Sardouie (IEEE Trans. Signal Inf. Process. over Networks, 2023)

ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation. - Aref Einizade; Samaneh Nasiri; Sepideh Hajipour Sardouie; Gari D. Clifford (Neural Networks, 2023)

Continuous Product Graph Neural Networks. - Aref Einizade; Fragkiskos D. Malliaros; Jhony H. Giraldo (NeurIPS, 2024)

Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks. - Aref Einizade; Fragkiskos D. Malliaros; Jhony H. Giraldo (CoRR, 2024)

Estimation of a causal directed acyclic graph process using non-gaussianity. - Aref Einizade; Jhony H. Giraldo; Fragkiskos D. Malliaros; Sepideh Hajipour Sardouie (Digit. Signal Process., 2024)

Iterative Pseudo-Sparse Partial Least Square and Its Higher Order Variant: Application to Inference From High-Dimensional Biosignals. - Aref Einizade; Sepideh Hajipour Sardouie (IEEE Trans. Cogn. Dev. Syst., 2024)

Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks. - Jhony H. Giraldo; Aref Einizade; Andjela Todorovic; Jhon A. Castro-Correa; Mohsen Badiey; Thierry Bouwmans; Fragkiskos D. Malliaros (IEEE Trans. Signal Inf. Process. over Networks, 2025)

COSMOS: Continuous Simplicial Neural Networks. - Aref Einizade; Dorina Thanou; Fragkiskos D. Malliaros; Jhony H. Giraldo (CoRR, 2025)

Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning. - Shifeng Xie; Aref Einizade; Jhony H. Giraldo (CoRR, 2025)