4,019 research outputs found
Integrated Node Encoder for Labelled Textual Networks
Voluminous works have been implemented to exploit content-enhanced network
embedding models, with little focus on the labelled information of nodes.
Although TriDNR leverages node labels by treating them as node attributes, it
fails to enrich unlabelled node vectors with the labelled information, which
leads to the weaker classification result on the test set in comparison to
existing unsupervised textual network embedding models. In this study, we
design an integrated node encoder (INE) for textual networks which is jointly
trained on the structure-based and label-based objectives. As a result, the
node encoder preserves the integrated knowledge of not only the network text
and structure, but also the labelled information. Furthermore, INE allows the
creation of label-enhanced vectors for unlabelled nodes by entering their node
contents. Our node embedding achieves state-of-the-art performances in the
classification task on two public citation networks, namely Cora and DBLP,
pushing benchmarks up by 10.0\% and 12.1\%, respectively, with the 70\%
training ratio. Additionally, a feasible solution that generalizes our model
from textual networks to a broader range of networks is proposed.Comment: 7 page
A Novel Distributed Representation of News (DRNews) for Stock Market Predictions
In this study, a novel Distributed Representation of News (DRNews) model is
developed and applied in deep learning-based stock market predictions. With the
merit of integrating contextual information and cross-documental knowledge, the
DRNews model creates news vectors that describe both the semantic information
and potential linkages among news events through an attributed news network.
Two stock market prediction tasks, namely the short-term stock movement
prediction and stock crises early warning, are implemented in the framework of
the attention-based Long Short Term-Memory (LSTM) network. It is suggested that
DRNews substantially enhances the results of both tasks comparing with five
baselines of news embedding models. Further, the attention mechanism suggests
that short-term stock trend and stock market crises both receive influences
from daily news with the former demonstrates more critical responses on the
information related to the stock market {\em per se}, whilst the latter draws
more concerns on the banking sector and economic policies.Comment: 25 page
Critical behaviors near the (tri-)critical end point of QCD within the NJL model
We investigate the dynamical chiral symmetry breaking and its restoration at
finite density and temperature within the two-flavor Nambu-Jona-Lasinio model,
and mainly focus on the critical behaviors near the critical end point (CEP)
and tricritical point (TCP) of quantum chromodynamics. The multi-solution
region of the Nambu and Wigner ones is determined in the phase diagram for the
massive and massless current quark, respectively. We use the various
susceptibilities to locate the CEP/TCP and then extract the critical exponents
near them. Our calculations reveal that the various susceptibilities share the
same critical behaviors for the physical current quark mass, while they show
different features in the chiral limit
Swift Monitoring Observations of Mrk 231: Detection of Ultraviolet Variability
We analyze 168 Swift monitoring observations of the nearest broad absorption
line quasar Mrk 231 in the UV and X-ray bands, where we detect significant
variability in the UV (2246\AA) light curve with a null probability of
for a constant model. Separately, from an archival sample
of Swift observed active galactic nuclei (AGN), we measure the relation between
UV excess variance and luminosity, finding that the normalized UV excess
variance decreases with luminosity. Comparing to this mean relation, the
normalized UV excess variance of Mrk 231 is smaller, however within the scatter
characterising the full population. The upper limit of the X-ray excess
variance is consistent with other AGN. The power spectrum density of the UV
light curve can be well fit by a power law model with a slope of
between and Hz, consistent with those for typical AGN,
with no obvious quasi-periodical oscillation peaks. The UV variability and its
power spectrum suggest that a significant amount of the UV emission of Mrk 231
is from the accretion disk. The consistencies in the normalized UV variability
and the shape of the power spectrum density between Mrk 231 and other normal
AGN suggest that the origin of UV variability of broad absorption line quasars
is similar to other AGN, and dust scattering at large scales such as the torus
is not a dominating process for the UV emission of Mrk 231. Significant
scattering, if present, is constrained to smaller than 10 light days. We
perform lagged correlation analysis between the UV and X-ray light curves and
find the correlation insignificant within the present data.Comment: 8 pages, 4 figures, accepted by MNRA
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