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ORCIDGeorge Panagopoulos
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2020 – today
- 2024
[j5]George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis, Jun Pang, Fragkiskos D. Malliaros:
Learning graph representations for influence maximization. Soc. Netw. Anal. Min. 14(1): 203 (2024)- [c16]George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, Jun Pang:
Uplift Modeling Under Limited Supervision. ECML/PKDD (6) 2024: 127-144 - [i12]George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, Jun Pang:
Graph Neural Networks for Treatment Effect Prediction. CoRR abs/2403.19289 (2024) - [i11]Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis:
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. CoRR abs/2406.18380 (2024) - [i10]Iakovos Evdaimon, John P. A. Ioannidis, Giannis Nikolentzos, Michail Chatzianastasis, George Panagopoulos, Michalis Vazirgiannis:
Metrics to Detect Small-Scale and Large-Scale Citation Orchestration. CoRR abs/2406.19219 (2024) - [i9]Tsz Pan Tong, Aoran Wang, George Panagopoulos, Jun Pang:
Integrating Optimal Transport and Structural Inference Models for GRN Inference from Single-cell Data. CoRR abs/2409.15080 (2024) - 2023
- [j4]Chrysoula Kosma, Giannis Nikolentzos, George Panagopoulos, Jean-Marc Steyaert, Michalis Vazirgiannis:
Neural Ordinary Differential Equations for Modeling Epidemic Spreading. Trans. Mach. Learn. Res. 2023 (2023) - [c15]George Panagopoulos
, Nikolaos Tziortziotis, Michalis Vazirgiannis, Fragkiskos D. Malliaros:
Maximizing Influence with Graph Neural Networks. ASONAM 2023: 237-244 - 2022
- [j3]George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
Multi-Task Learning for Influence Estimation and Maximization. IEEE Trans. Knowl. Data Eng. 34(9): 4398-4409 (2022) - [i8]George Panagopoulos, Michalis Vazirgiannis:
Exploratory Analysis of Academic Collaborations between French and US. CoRR abs/2201.01346 (2022) - 2021
- [c14]George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis:
Transfer Graph Neural Networks for Pandemic Forecasting. AAAI 2021: 4838-4845 - [c13]Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Guzmán López, Nicolas Collignon, Rik Sarkar:
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CIKM 2021: 4564-4573 - [c12]Giannis Nikolentzos, George Panagopoulos, Michalis Vazirgiannis:
An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks. ICANN (3) 2021: 139-150 - [c11]George Panagopoulos, Fragkiskos D. Malliaros:
Influence Learning and Maximization. ICWE 2021: 547-550 - [p1]Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis:
Can Author Collaboration Reveal Impact? The Case of h-index. Predicting the Dynamics of Research Impact 2021: 177-194 - [i7]Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis:
Can Author Collaboration Reveal Impact? The Case of h-index. CoRR abs/2104.05562 (2021) - [i6]Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Nicolas Collignon, Rik Sarkar:
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CoRR abs/2104.07788 (2021) - [i5]George Panagopoulos, Nikolaos Tziortziotis, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
Learning to Maximize Influence. CoRR abs/2108.04623 (2021) - 2020
- [j2]George Panagopoulos, Ioannis T. Pavlidis:
Forecasting Markers of Habitual Driving Behaviors Associated With Crash Risk. IEEE Trans. Intell. Transp. Syst. 21(2): 841-851 (2020) - [c10]George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
Influence Maximization Using Influence and Susceptibility Embeddings. ICWSM 2020: 511-521 - [c9]Paul Boniol, George Panagopoulos, Christos Xypolopoulos, Rajaa El Hamdani, David Restrepo Amariles, Michalis Vazirgiannis:
Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France. NLLP@KDD 2020: 11-17 - [i4]Paul Boniol, George Panagopoulos, Christos Xypolopoulos, Rajaa El Hamdani, David Restrepo Amariles, Michalis Vazirgiannis:
Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France. CoRR abs/2006.06251 (2020) - [i3]George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis:
United We Stand: Transfer Graph Neural Networks for Pandemic Forecasting. CoRR abs/2009.08388 (2020)
2010 – 2019
- 2019
- [c8]George Panagopoulos, Christos Xypolopoulos, Konstantinos Skianis, Christos Giatsidis, Jie Tang, Michalis Vazirgiannis:
Scientometrics for Success and Influence in the Microsoft Academic Graph. COMPLEX NETWORKS (2) 2019: 1007-1017 - [i2]George Panagopoulos, Michalis Vazirgiannis, Fragkiskos D. Malliaros:
Influence Maximization via Representation Learning. CoRR abs/1904.08804 (2019) - 2018
- [c7]George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
DiffuGreedy: An Influence Maximization Algorithm Based on Diffusion Cascades. COMPLEX NETWORKS (1) 2018: 392-404 - [i1]George Panagopoulos:
A Review of Network Inference Techniques for Neural Activation Time Series. CoRR abs/1806.08212 (2018) - 2017
- [j1]George Panagopoulos, George Tsatsaronis, Iraklis Varlamis:
Detecting rising stars in dynamic collaborative networks. J. Informetrics 11(1): 198-222 (2017) - [c6]George Panagopoulos:
Multi-Task Learning for Commercial Brain Computer Interfaces. BIBE 2017: 86-93 - [c5]George Panagopoulos, Cara A. Palmer:
A Specialized Interactive Data Application for EEG- Based Sleep Studies. PETRA 2017: 399-402 - 2015
- [c4]Ilias Giechaskiel, George Panagopoulos, Eiko Yoneki:
PDTL: Parallel and Distributed Triangle Listing for Massive Graphs. ICPP 2015: 370-379 - [c3]George Panagopoulos, Pythagoras Karampiperis, Antonis Koukourikos, Sotiris Konstantinidis:
Creativity Profiling Server: Modelling the Principal Components of Human Creativity over Texts. UMAP Workshops 2015 - 2014
- [c2]Pythagoras Karampiperis, Antonis Koukourikos, George Panagopoulos:
From Computational Creativity Metrics to the Principal Components of Human Creativity. KICSS 2014: 447-456
1990 – 1999
- 1994
- [c1]George Panagopoulos, Christos Faloutsos:
Bit-Sliced Signature Files for Very Large Text Databases an a Parallel Machine Architecture. EDBT 1994: 379-392
Coauthor Index
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last updated on 2024-10-16 21:22 CEST by the dblp team
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