2 citations · 2 across the 5 of their papers we have counts for
6 papers
Database Views as Explanations for Relational Deep Learning
Agapi Rissaki, Ilias Fountalis, Wolfgang Gatterbauer +1
In recent years, there has been significant progress in the development of deep learning models over relational databases, including architectures based on heterogeneous graph neur…
Towards Agentic Schema Refinement
Agapi Rissaki, Ilias Fountalis, Nikolaos Vasiloglou +1
Large enterprise databases can be complex and messy, obscuring the data semantics needed for analytical tasks. We propose a semantic layer in-between the database and the user as a…
Reconstructing the mid-infrared spectra of galaxies using ultraviolet to submillimeter photometry and Deep Generative Networks
Agapi Rissaki, Orestis Pavlou, Dimitris Fotakis +2
The mid-infrared spectra of galaxies are rich in features such as the Polycyclic Aromatic Hydrocarbon (PAH) and silicate dust features which give valuable information about the phy…
Towards Unbiased Exploration in Partial Label Learning
Zsolt Zombori, Agapi Rissaki, Kristóf Szabó +2
We consider learning a probabilistic classifier from partially-labelled supervision (inputs denoted with multiple possibilities) using standard neural architectures with a softmax…
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings
Agapi Rissaki, Bruno Scarone, David Liu +4
The issue of bias (i.e., systematic unfairness) in machine learning models has recently attracted the attention of both researchers and practitioners. For the graph mining communit…
Solving Inverse Problems for Spectral Energy Distributions with Deep Generative Networks
Agapi Rissaki, Orestis Pavlou, Dimitris Fotakis +2
We propose an end-to-end approach for solving inverse problems for a class of complex astronomical signals, namely Spectral Energy Distributions (SEDs). Our goal is to reconstruct…