  Gravitational wave astronomy is established with direct observation of
gravitational wave from merging binary black holes and binary neutron stars
during the first and second observing run of LIGO and Virgo detectors. The
gravitational-wave transient searches mainly categories into two families:
modeled and modeled-independent searches. The modeled searches are based on
matched filtering techniques and model-independent searches are based on the
extraction of excess power from time-frequency representations. We have
proposed a hybrid method, called wavegraph that mixes the two approaches. It
uses astrophysical information at the extraction stage of model-independent
search using a mathematical graph. In this work, we assess the performance of
wavegraph clustering in real LIGO and Virgo noises (the sixth science run and
the first observing run) and using the coherent WaveBurst transient search as a
backbone. Further, we propose a new signal consistency test for this algorithm.
This test uses the amplitude profile information to distinguish between the
gravitational wave transients from the noisy glitches. This test is able to
remove a large fraction of loud glitches, which thus results in additional
overall sensitivity in the context of searches for binary black-hole mergers in
the low-mass range.
