Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The varying importance of extrinsic factors in the success of startup
  fundraising: competition at early-stage and networks at growth-stage   We address the issue of the factors driving startup success in raising funds.
Using the popular and public startup database Crunchbase, we explicitly take
into account two extrinsic characteristics of startups: the competition that
the companies face, using similarity measures derived from the Word2Vec
algorithm, as well as the position of investors in the investment network,
pioneering the use of Graph Neural Networks (GNN), a recent deep learning
technique that enables the handling of graphs as such and as a whole. We show
that the different stages of fundraising, early- and growth-stage, are
associated with different success factors. Our results suggest a marked
relevance of startup competition for early stage while growth-stage fundraising
is influenced by network features. Both of these factors tend to average out in
global models, which could lead to the false impression that startup success in
fundraising would mostly if not only be influenced by its intrinsic
characteristics, notably those of their founders.

13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org