Abstract: Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have ...
From cyberpunk adventures to stock market simulations, these upcoming innovative deck-building games are pushing the ...
Drawing on Mandrake, Tennyson, Baudrillard and Jonathan Haidt, this essay examines how social media produces parallel selves, erodes attention, and reshapes childhood, ageing and public life—raising ...
Discover key economic indicators shaping growth forecasts, market trends, and housing stability. Click for this updated look ...
Abstract: Recently, self-supervised learning has shown great potential in Graph Neural Networks (GNNs) through contrastive learning, which aims to learn discriminative features for each node without ...
Ripples maintain time-locked occurrence across the septo-temporal axis and hemispheres while showing local phase coupling, revealing a dual mode of synchrony in CA1 network dynamics.
The study presents convincing quantitative evidence, supported by appropriate negative controls, for the presence of low-abundance glycine receptors (GlyRs) within inhibitory synapses in telencephalic ...
Explore the economic indicators, yield curve insights, and consumer spending trends to inform your investment strategy. Click ...
Do you often replay the bad yet always forget the good? Here’s the science behind negative thought spirals and how to find balance and resilience. Do you know why our brains can replay our most ...
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