There is plenty of intriguing sci-fi on offer this month, whether it's solar-powered cities from Adrian Tchaikovsky or a strange future from M. John Harrison A father mysteriously slips through time in Joseph Eckert's Writing this as the UK swelters under an unprecedented May heatwave, perhaps it's small wonder that so many science-fiction authors are currently imagining miserable versions of an overheated future in which their characters are struggling to survive. I'm intrigued by the sound of sci-fi legend M. John Harrison's upcoming take on a dystopian future, but if post-apocalyptic hellscapes aren't your thing, I'm also happy to report that there are other options for sci-fi fans this month. Next, I'm going to explore Isabel J. Kim's sci-fi spin on immigration,, as soon as I can get my hands on it. I am excited about this book: M. John Harrison is a really classy writer, winner of all sorts of awards, and his latest novel sounds right up my street. It's set in a future years after an obscure "crisis" changed everything, in a world where the seas are full of new creatures.

Inside Dewar's cavernous whisky warehouses, man's best mechanical friend--a Boston Dynamics robot dog with an ethanol sensor for a nose--is on the hunt for leaky barrels. Wooden barrels are what make the magic happen in your favorite bottle of whisky . At Bacardi Limited, the world's largest privately held spirits company, barrel leakage is a massive headache. Consider the company's Dewar's blended Scotch whisky brand (just one of the dozens it owns). Most of the time, Dewar's will have over 100 warehouses full of aging barrels of whisky, 25,000 casks in each one.

Graph contrastivelearning (GCL), by training GNNs to maximize the correspondence between the representations of the same graph in its different augmented forms, may yield robust and transferable GNNs even without using labels.

In the reminder of the paper we will try whenever possible to formally introduce functions by clearly stating domain and co-domain.

Meanwhile,adding self-loops makes the greatest common divisor of the lengths of graph'scycles is 1. Clearly,πappr is upper bounded by πappr 1. To support the reproducibility of the results in this paper, we detail datasets, the baseline settings pseudocode and model implementation in experiments. In this paper, we usemean as its aggregator since it performs best [7].

We propose MHM-GNN, an inductive unsupervised graph representation approach that combines jointk-node representations with energy-based models (hypergraph Markov networks) and GNNs.

One line of work does so by studying their ability to distinguish non-isomorphic graphs.

Big hitter Peter F. Hamilton has a new sci-fi novel out this month - and Booker winner George Saunders ventures into speculative fiction with his latest book, Vigil Is it an asteroid or an alien in Van Jensen's Godfall? Welcome to January, a month when many of us are keen to escape from the world into the pages of a book. Thankfully, science fiction is here to help, whether that's with a story set on a generation ship where things aren't as they seem, courtesy of Peter F. Hamilton, or journeying to an alternate version of this world where the Roman Empire is still in charge, in Solitaire Townsend's . Add to the mix a time-loop murder, a UFO romance and some eco-horror, and there's plenty of choice for sci-fi fans this month. A generation ship is in search of a new home in Peter F. Hamilton's latest sci-fi novel Big hitter Peter F. Hamilton sets his latest outing on a generation ship in search of a new world, where people are only allowed to live for 65 years so they don't deplete the ship's resources. When a teenager Hazel's brother has an accident that means he is no longer productive, he is set to be killed off.

This paper is concerned with the problem of representing and learning a linear transformation using a linear neural network.