George Panagopoulos

According to our database, George Panagopoulos authored at least 27 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph Neural Networks for Treatment Effect Prediction.

George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, Jun Pang

CoRR, 2024

2023

Maximizing Influence with Graph Neural Networks.

George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis, Fragkiskos D. Malliaros

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Multi-Task Learning for Influence Estimation and Maximization.

George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis

IEEE Trans. Knowl. Data Eng., 2022

Exploratory Analysis of Academic Collaborations between French and US.

George Panagopoulos, Michalis Vazirgiannis

CoRR, 2022

2021

Learning to Maximize Influence.

George Panagopoulos, Nikolaos Tziortziotis, Fragkiskos D. Malliaros, 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

Can Author Collaboration Reveal Impact? The Case of h-index.

Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis

CoRR, 2021

Influence Learning and Maximization.

George Panagopoulos, Fragkiskos D. Malliaros

Proceedings of the Web Engineering - 21st International Conference, 2021

An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks.

Giannis Nikolentzos, George Panagopoulos, Michalis Vazirgiannis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Transfer Graph Neural Networks for Pandemic Forecasting.

George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Can Author Collaboration Reveal Impact? The Case of h-index.

Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis

Proceedings of the Predicting the Dynamics of Research Impact, 2021

2020

Forecasting Markers of Habitual Driving Behaviors Associated With Crash Risk.

George Panagopoulos, Ioannis T. Pavlidis

IEEE Trans. Intell. Transp. Syst., 2020

United We Stand: Transfer Graph Neural Networks for Pandemic Forecasting.

George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis

CoRR, 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

Proceedings of the Natural Legal Language Processing Workshop 2020 co-located with the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020), 2020

Influence Maximization Using Influence and Susceptibility Embeddings.

George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis

Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

2019

Influence Maximization via Representation Learning.

George Panagopoulos, Michalis Vazirgiannis, Fragkiskos D. Malliaros

CoRR, 2019

Scientometrics for Success and Influence in the Microsoft Academic Graph.

George Panagopoulos, Christos Xypolopoulos, Konstantinos Skianis, Christos Giatsidis, Jie Tang, Michalis Vazirgiannis

Proceedings of the Complex Networks and Their Applications VIII, 2019

2018

A Review of Network Inference Techniques for Neural Activation Time Series.

George Panagopoulos

CoRR, 2018

DiffuGreedy: An Influence Maximization Algorithm Based on Diffusion Cascades.

George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis

Proceedings of the Complex Networks and Their Applications VII, 2018

2017

Detecting rising stars in dynamic collaborative networks.

George Panagopoulos, George Tsatsaronis, Iraklis Varlamis

J. Informetrics, 2017

A Specialized Interactive Data Application for EEG- Based Sleep Studies.

George Panagopoulos, Cara A. Palmer

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017

Multi-Task Learning for Commercial Brain Computer Interfaces.

George Panagopoulos

Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2015

Creativity Profiling Server: Modelling the Principal Components of Human Creativity over Texts.

George Panagopoulos, Pythagoras Karampiperis, Antonis Koukourikos, Sotiris Konstantinidis

Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015

PDTL: Parallel and Distributed Triangle Listing for Massive Graphs.

Ilias Giechaskiel, George Panagopoulos, Eiko Yoneki

Proceedings of the 44th International Conference on Parallel Processing, 2015

2014

From Computational Creativity Metrics to the Principal Components of Human Creativity.

Pythagoras Karampiperis, Antonis Koukourikos, George Panagopoulos

Proceedings of the Knowledge, Information and Creativity Support Systems - Selected Papers from KICSS'2014, 2014

1994

Bit-Sliced Signature Files for Very Large Text Databases an a Parallel Machine Architecture.

George Panagopoulos, Christos Faloutsos

Proceedings of the Advances in Database Technology, 1994