George Panagopoulos

38 papers A* 1A 2B 4C 1Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient Data Selection for Training Genomic Perturbation Models. CoRR George Panagopoulos, Johannes F. Lutzeyer, Sofiane Ennadir, Michalis Vazirgiannis, Jun Pang
2025	J	`jnl`	KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. Trans. Mach. Learn. Res. Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis
2025	—	`conf`	Kolmogorov-Arnold Network for Gene Regulatory Network Inference. CMSB Tsz Pan Tong, Aoran Wang, George Panagopoulos, Jun Pang
2025	J	`jnl`	Kolmogorov-Arnold Network for Gene Regulatory Network Inference. CoRR Tsz Pan Tong, Aoran Wang, George Panagopoulos, Jun Pang
2024	J	`jnl`	Graph Neural Networks for Treatment Effect Prediction. CoRR George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, Jun Pang
2024	J	`jnl`	Integrating Optimal Transport and Structural Inference Models for GRN Inference from Single-cell Data. CoRR Tsz Pan Tong, Aoran Wang, George Panagopoulos, Jun Pang
2024	J	`jnl`	KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. CoRR Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis
2024	J	`jnl`	Learning graph representations for influence maximization. Soc. Netw. Anal. Min. George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis, Jun Pang, Fragkiskos D. Malliaros
2024	J	`jnl`	Metrics to Detect Small-Scale and Large-Scale Citation Orchestration. CoRR Iakovos Evdaimon, John P. A. Ioannidis, Giannis Nikolentzos, Michail Chatzianastasis, George Panagopoulos, Michalis Vazirgiannis
2024	—	`conf`	Uplift Modeling Under Limited Supervision. ECML/PKDD (6) George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, Jun Pang
2023	B	`conf`	Maximizing Influence with Graph Neural Networks. ASONAM George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis, Fragkiskos D. Malliaros
2023	J	`jnl`	Neural Ordinary Differential Equations for Modeling Epidemic Spreading. Trans. Mach. Learn. Res. Chrysoula Kosma, Giannis Nikolentzos, George Panagopoulos, Jean-Marc Steyaert, Michalis Vazirgiannis
2022	J	`jnl`	Exploratory Analysis of Academic Collaborations between French and US. CoRR George Panagopoulos, Michalis Vazirgiannis
2022	J	`jnl`	Multi-Task Learning for Influence Estimation and Maximization. IEEE Trans. Knowl. Data Eng. George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis
2021	—	`conf`	An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks. ICANN (3) Giannis Nikolentzos, George Panagopoulos, Michalis Vazirgiannis
2021	—	`ch.`	Can Author Collaboration Reveal Impact? The Case of h-index. Predicting the Dynamics of Research Impact Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis
2021	J	`jnl`	Can Author Collaboration Reveal Impact? The Case of h-index. CoRR Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis
2021	B	`conf`	Influence Learning and Maximization. ICWE George Panagopoulos, Fragkiskos D. Malliaros
2021	J	`jnl`	Learning to Maximize Influence. CoRR George Panagopoulos, Nikolaos Tziortziotis, Fragkiskos D. Malliaros, Michalis Vazirgiannis
2021	A	`conf`	PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CIKM Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Guzmán López, Nicolas Collignon, Rik Sarkar
2021	J	`jnl`	PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CoRR Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Nicolas Collignon, Rik Sarkar
2021	A*	`conf`	Transfer Graph Neural Networks for Pandemic Forecasting. AAAI George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis
2020	J	`jnl`	Forecasting Markers of Habitual Driving Behaviors Associated With Crash Risk. IEEE Trans. Intell. Transp. Syst. George Panagopoulos, Ioannis T. Pavlidis
2020	A	`conf`	Influence Maximization Using Influence and Susceptibility Embeddings. ICWSM George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis
2020	—	`conf`	Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France. NLLP@KDD Paul Boniol, George Panagopoulos, Christos Xypolopoulos, Rajaa El Hamdani, David Restrepo Amariles, Michalis Vazirgiannis
2020	J	`jnl`	Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France. CoRR Paul Boniol, George Panagopoulos, Christos Xypolopoulos, Rajaa El Hamdani, David Restrepo Amariles, Michalis Vazirgiannis
2020	J	`jnl`	United We Stand: Transfer Graph Neural Networks for Pandemic Forecasting. CoRR George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis
2019	J	`jnl`	Influence Maximization via Representation Learning. CoRR George Panagopoulos, Michalis Vazirgiannis, Fragkiskos D. Malliaros
2019	—	`conf`	Scientometrics for Success and Influence in the Microsoft Academic Graph. COMPLEX NETWORKS (2) George Panagopoulos, Christos Xypolopoulos, Konstantinos Skianis, Christos Giatsidis, Jie Tang, Michalis Vazirgiannis
2018	J	`jnl`	A Review of Network Inference Techniques for Neural Activation Time Series. CoRR George Panagopoulos
2018	—	`conf`	DiffuGreedy: An Influence Maximization Algorithm Based on Diffusion Cascades. COMPLEX NETWORKS (1) George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis
2017	—	`conf`	A Specialized Interactive Data Application for EEG- Based Sleep Studies. PETRA George Panagopoulos, Cara A. Palmer
2017	J	`jnl`	Detecting rising stars in dynamic collaborative networks. J. Informetrics George Panagopoulos, George Tsatsaronis, Iraklis Varlamis
2017	C	`conf`	Multi-Task Learning for Commercial Brain Computer Interfaces. BIBE George Panagopoulos
2015	—	`conf`	Creativity Profiling Server: Modelling the Principal Components of Human Creativity over Texts. UMAP Workshops George Panagopoulos, Pythagoras Karampiperis, Antonis Koukourikos, Sotiris Konstantinidis
2015	B	`conf`	PDTL: Parallel and Distributed Triangle Listing for Massive Graphs. ICPP Ilias Giechaskiel, George Panagopoulos, Eiko Yoneki
2014	—	`conf`	From Computational Creativity Metrics to the Principal Components of Human Creativity. KICSS Pythagoras Karampiperis, Antonis Koukourikos, George Panagopoulos
1994	B	`conf`	Bit-Sliced Signature Files for Very Large Text Databases an a Parallel Machine Architecture. EDBT George Panagopoulos, Christos Faloutsos