Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Comparison of Deep-Learning Methods for Analysing and Predicting
  Business Processes   Deep-learning models such as Convolutional Neural Networks (CNN) and Long
Short-Term Memory (LSTM) have been successfully used for process-mining tasks.
They have achieved better performance for different predictive tasks than
traditional approaches. We extend the existing body of research by testing four
different variants of Graph Neural Networks (GNN) and a fully connected
Multi-layer Perceptron (MLP) with dropout for the tasks of predicting the
nature and timestamp of the next process activity. In contrast to existing
studies, we evaluate our models' performance at different stages of a process,
determined by quartiles of the number of events and normalized quarters of the
case duration. This provides new insights into the performance of a prediction
model, as they behave differently at different stages of a business-process.
Interestingly, our experiments show that the simple MLP often outperforms more
sophisticated deep-learning models in both prediction tasks. We argue that care
needs to be taken when applying automated process-prediction techniques at
different stages of a process. We further argue that researchers should reflect
their results with strong baselines methods like simple MLPs.

12
The categories of this paper are: nucl-th
19
The categories of this paper are: eess
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
33
The categories of this paper are: plasm-ph
26
The categories of this paper are: bayes-an
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat