Search Results for author: George Panagopoulos

Found 7 papers, 4 papers with code

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

no code implementations1 Jan 2021 Giannis Nikolentzos, George Panagopoulos, Michalis Vazirgiannis

Graph neural networks and graph kernels have achieved great success in solving machine learning problems on graphs.

Graph Similarity

Transfer Graph Neural Networks for Pandemic Forecasting

5 code implementations10 Sep 2020 George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis

Furthermore, to account for the limited amount of training data, we capitalize on the pandemic's asynchronous outbreaks across countries and use a model-agnostic meta-learning based method to transfer knowledge from one country's model to another's.

Meta-Learning Representation Learning +1

Multi-task Learning for Influence Estimation and Maximization

3 code implementations18 Apr 2019 George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis

The first part of our methodology is a multi-task neural network that learns embeddings of nodes that initiate cascades (influencer vectors) and embeddings of nodes that participate in them (susceptible vectors).

Multi-Task Learning Representation Learning

A Review of Network Inference Techniques for Neural Activation Time Series

1 code implementation20 Jun 2018 George Panagopoulos

In this work, we perform a review of methods for neural circuit inference given the activation time series of the neural population.

Point Processes Time Series +1

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