default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGeorge Panagopoulos
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 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)- 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) - 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) - 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) - 2017
- [j1]George Panagopoulos, George Tsatsaronis, Iraklis Varlamis:
Detecting rising stars in dynamic collaborative networks. J. Informetrics 11(1): 198-222 (2017)
Conference and Workshop Papers
- 2024
- [c16]George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, Jun Pang:
Uplift Modeling Under Limited Supervision. ECML/PKDD (6) 2024: 127-144 - 2023
- [c15]George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis, Fragkiskos D. Malliaros:
Maximizing Influence with Graph Neural Networks. ASONAM 2023: 237-244 - 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 - 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 - 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 - 2018
- [c7]George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
DiffuGreedy: An Influence Maximization Algorithm Based on Diffusion Cascades. COMPLEX NETWORKS (1) 2018: 392-404 - 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 - 1994
- [c1]George Panagopoulos, Christos Faloutsos:
Bit-Sliced Signature Files for Very Large Text Databases an a Parallel Machine Architecture. EDBT 1994: 379-392
Parts in Books or Collections
- 2021
- [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
Informal and Other Publications
- 2024
- [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) - 2022
- [i8]George Panagopoulos, Michalis Vazirgiannis:
Exploratory Analysis of Academic Collaborations between French and US. CoRR abs/2201.01346 (2022) - 2021
- [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
- [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) - 2019
- [i2]George Panagopoulos, Michalis Vazirgiannis, Fragkiskos D. Malliaros:
Influence Maximization via Representation Learning. CoRR abs/1904.08804 (2019) - 2018
- [i1]George Panagopoulos:
A Review of Network Inference Techniques for Neural Activation Time Series. CoRR abs/1806.08212 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-16 21:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
