Bit-Sliced Signature Files for Very Large Text Databases an a Parallel Machine Architecture. - George Panagopoulos; Christos Faloutsos (EDBT, 1994)

From Computational Creativity Metrics to the Principal Components of Human Creativity. - Pythagoras Karampiperis; Antonis Koukourikos; George Panagopoulos (KICSS, 2014)

PDTL: Parallel and Distributed Triangle Listing for Massive Graphs. - Ilias Giechaskiel; George Panagopoulos; Eiko Yoneki (ICPP, 2015)

Creativity Profiling Server: Modelling the Principal Components of Human Creativity over Texts. - George Panagopoulos; Pythagoras Karampiperis; Antonis Koukourikos; Sotiris Konstantinidis (UMAP Workshops, 2015)

Multi-Task Learning for Commercial Brain Computer Interfaces. - George Panagopoulos (BIBE, 2017)

A Specialized Interactive Data Application for EEG- Based Sleep Studies. - George Panagopoulos; Cara A. Palmer (PETRA, 2017)

Detecting rising stars in dynamic collaborative networks. - George Panagopoulos; George Tsatsaronis 001; Iraklis Varlamis (J. Informetrics, 2017)

DiffuGreedy: An Influence Maximization Algorithm Based on Diffusion Cascades. - George Panagopoulos; Fragkiskos D. Malliaros; Michalis Vazirgiannis (COMPLEX NETWORKS (1), 2018)

A Review of Network Inference Techniques for Neural Activation Time Series. - George Panagopoulos (CoRR, 2018)

Scientometrics for Success and Influence in the Microsoft Academic Graph. - George Panagopoulos; Christos Xypolopoulos; Konstantinos Skianis; Christos Giatsidis; Jie Tang 001; Michalis Vazirgiannis (COMPLEX NETWORKS (2), 2019)

Influence Maximization via Representation Learning. - George Panagopoulos; Michalis Vazirgiannis; Fragkiskos D. Malliaros (CoRR, 2019)

Influence Maximization Using Influence and Susceptibility Embeddings. - George Panagopoulos; Fragkiskos D. Malliaros; Michalis Vazirgiannis (ICWSM, 2020)

Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France. - Paul Boniol; George Panagopoulos; Christos Xypolopoulos; Rajaa El Hamdani; David Restrepo Amariles; Michalis Vazirgiannis (NLLP@KDD, 2020)

United We Stand: Transfer Graph Neural Networks for Pandemic Forecasting. - George Panagopoulos; Giannis Nikolentzos; Michalis Vazirgiannis (CoRR, 2020)

Forecasting Markers of Habitual Driving Behaviors Associated With Crash Risk. - George Panagopoulos; Ioannis T. Pavlidis (IEEE Trans. Intell. Transp. Syst., 2020)

Can Author Collaboration Reveal Impact? The Case of h-index. - Giannis Nikolentzos; George Panagopoulos; Iakovos Evdaimon; Michalis Vazirgiannis (Predicting the Dynamics of Research Impact, 2021)

Transfer Graph Neural Networks for Pandemic Forecasting. - George Panagopoulos; Giannis Nikolentzos; Michalis Vazirgiannis (AAAI, 2021)

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. - Benedek Rozemberczki; Paul Scherer; Yixuan He; George Panagopoulos; Alexander Riedel; Maria Sinziana Astefanoaei; Oliver Kiss; Ferenc Béres; Guzmán López; Nicolas Collignon; Rik Sarkar (CIKM, 2021)

An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks. - Giannis Nikolentzos; George Panagopoulos; Michalis Vazirgiannis (ICANN (3), 2021)

Influence Learning and Maximization. - George Panagopoulos; Fragkiskos D. Malliaros (ICWE, 2021)

Can Author Collaboration Reveal Impact? The Case of h-index. - Giannis Nikolentzos; George Panagopoulos; Iakovos Evdaimon; Michalis Vazirgiannis (CoRR, 2021)

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. - Benedek Rozemberczki; Paul Scherer; Yixuan He; George Panagopoulos; Maria Sinziana Astefanoaei; Oliver Kiss; Ferenc Béres; Nicolas Collignon; Rik Sarkar (CoRR, 2021)

Learning to Maximize Influence. - George Panagopoulos; Nikolaos Tziortziotis; Fragkiskos D. Malliaros; Michalis Vazirgiannis (CoRR, 2021)

Exploratory Analysis of Academic Collaborations between French and US. - George Panagopoulos; Michalis Vazirgiannis (CoRR, 2022)

Multi-Task Learning for Influence Estimation and Maximization. - George Panagopoulos; Fragkiskos D. Malliaros; Michalis Vazirgiannis (IEEE Trans. Knowl. Data Eng., 2022)

Maximizing Influence with Graph Neural Networks. - George Panagopoulos; Nikolaos Tziortziotis; Michalis Vazirgiannis; Fragkiskos D. Malliaros (ASONAM, 2023)

Neural Ordinary Differential Equations for Modeling Epidemic Spreading. - Chrysoula Kosma; Giannis Nikolentzos; George Panagopoulos; Jean-Marc Steyaert; Michalis Vazirgiannis (Trans. Mach. Learn. Res., 2023)

Pedal Me Bicycle Deliveries. - Benedek Rozemberczki; Paul Scherer; Yixuan He; George Panagopoulos; Maria Sinziana Astefanoaei; Oliver Kiss; Ferenc Béres; Nicolas Collignon; Rik Sarkar (UCI-MLR, 2023)

Uplift Modeling Under Limited Supervision. - George Panagopoulos; Daniele Malitesta; Fragkiskos D. Malliaros; Jun Pang 001 (ECML/PKDD (6), 2024)

Graph Neural Networks for Treatment Effect Prediction. - George Panagopoulos; Daniele Malitesta; Fragkiskos D. Malliaros; Jun Pang 001 (CoRR, 2024)

Metrics to Detect Small-Scale and Large-Scale Citation Orchestration. - Iakovos Evdaimon; John P. A. Ioannidis; Giannis Nikolentzos; Michail Chatzianastasis; George Panagopoulos; Michalis Vazirgiannis (CoRR, 2024)

Integrating Optimal Transport and Structural Inference Models for GRN Inference from Single-cell Data. - Tsz Pan Tong; Aoran Wang; George Panagopoulos; Jun Pang 001 (CoRR, 2024)

Learning graph representations for influence maximization. - George Panagopoulos; Nikolaos Tziortziotis; Michalis Vazirgiannis; Jun Pang 001; Fragkiskos D. Malliaros (Soc. Netw. Anal. Min., 2024)

KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. - Roman Bresson; Giannis Nikolentzos; George Panagopoulos; Michail Chatzianastasis; Jun Pang 001; Michalis Vazirgiannis (Trans. Mach. Learn. Res., 2025)

Efficient Data Selection for Training Genomic Perturbation Models. - George Panagopoulos; Johannes F. Lutzeyer; Sofiane Ennadir; Michalis Vazirgiannis; Jun Pang 001 (CoRR, 2025)

Kolmogorov-Arnold Network for Gene Regulatory Network Inference. - Tsz Pan Tong; Aoran Wang; George Panagopoulos; Jun Pang 001 (CoRR, 2025)