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08/23/2023
Economic Recommender Systems – A Systematic Review
Many of today's online services provide personalized recommendations to ...
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05/19/2023
RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design
Identifying molecules that exhibit some pre-specified properties is a di...
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07/26/2022
An Explainable Decision Support System for Predictive Process Analytics
Predictive Process Analytics is becoming an essential aid for organizati...
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03/05/2022
Object-centric Process Predictive Analytics
Object-centric processes (a.k.a. Artifact-centric processes) are impleme...
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06/10/2021
Simple Graph Convolutional Networks
Many neural networks for graphs are based on the graph convolution opera...
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09/01/2020
Conditional Constrained Graph Variational Autoencoders for Molecule Design
In recent years, deep generative models for graphs have been used to gen...
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08/20/2020
A Systematic Assessment of Deep Learning Models for Molecule Generation
In recent years the scientific community has devoted much effort in the ...
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08/04/2020
Explainable Predictive Process Monitoring
Predictive Business Process Monitoring is becoming an essential aid for ...
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11/23/2018
On Filter Size in Graph Convolutional Networks
Recently, many researchers have been focusing on the definition of neura...
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11/16/2018
Pre-training Graph Neural Networks with Kernels
Many machine learning techniques have been proposed in the last few year...
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11/10/2017
LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances
Predicting the completion time of business process instances would be a ...
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09/22/2015