The End is here! The darkness that has pursued Noriko and her tortured warrior Izark descends full force as their corrupt enemies in the government stage a last coup. With Noriko bedridden, Izark must fight alone, but help may come from an unexpected source. Still, even if they survive, the prophecy can no longer be avoided. The time of the Sky Demon has come—and no one is ready for the final revelation. Will Noriko truly be the death of her first and only love? Find out all the answers and much more in the incredible conclusion to this epic manga. -- VIZ Media

On her way home from school one day, Noriko is unexpectedly plunged into a strange and extraordinary fantasy world. Her troubles compound exponentially when she is rescued and befriended by a handsome young man by the name of Izark. He may be brave and courageous, but inside Izark lurks the darkest evil imaginable. And according to an ancient prophecy, Noriko possesses the power to unleash that evil. Now, inexorably bound together, these two unlikely allies must navigate a world both wondrous and hostile. -- VIZ Media

In the past, Noriko has relied on the help of a small cadre of sympathizers to protect her from the constant danger swirling around her. But now she finds herself in a most unusual position. Suddenly, she must rescue a member of her inner circle. To do this, she enlists the help of the Spirit of the Trees. Together, the young girl and the woodland spectre form an opportune alliance. But alliances made in haste often prove disastrous...especially when secret agendas are finally revealed! -- VIZ Media

Transported into a fantastical world of high adventure, a confused and frightened teenager discovers she hold a prophetic power that will awaken a new epoch of staggering uncertainty. A prophecy of doom, passed down from generation to generation, has finally arrived. Manifest in the form of a young teenage girl named Noriko, the awakening promises a new world of frightening uncertainty. But not everybody lives in fear of this ancient prophecy. Slowly, a group of sympathizers has come together to befriend and protect the vulnerable teenager. One of them, a valorous warrior by the name of Izark, continues to stay by her side despite the danger and complications that lie ahead. In an attempt to avoid capture, Noriko and her band of allies travel into the White Mist Forest. Danger lurks everywhere, however...especially in this infrequently traveled wildwood!

A National Book Award Finalist An Edgar Award Finalist A California Book Award Gold Medal Winner A dark, contemporary fairy tale in the tradition of Neil Gaiman. Jeremy Johnson Johnson hears voices. Or, specifically, one voice: the ghost of Jacob Grimm, one half of The Brothers Grimm. Jacob watches over Jeremy, protecting him from an unknown dark evil whispered about in the space between this world and the next. But Jacob can't protect Jeremy from everything. When coltish, copper-haired Ginger Boultinghouse takes a bite of a cake so delicious it’s rumored to be bewitched, she falls in love with the first person she sees: Jeremy. In any other place, this would be a turn for the better for Jeremy, but not in Never Better, where the Finder of Occasions—whose identity and evil intentions nobody knows—is watching and waiting, waiting and watching. . . And as anyone familiar with the Brothers Grimm know, not all fairy tales have happy endings. Veteran writer Tom McNeal has crafted a young adult novel at once grim(m) and hopeful, full of twists, and perfect for fans of contemporary fairy tales like Neil Gaiman's The Graveyard Book and Holly Black's Doll Bones. The recipient of five starred reviews, Publishers Weekly called Far Far Away "inventive and deeply poignant."

Collects the private correspondence between Georgia O'Keeffe and Alfred Stieglitz, revealing the ups and downs of their marriage, their thoughts on their work, and their friendships with other artists.

Together for only a short time, Noriko and Izark are beginning to develop romantic feelings for one another. But now, before the spark of passion catches fire, another comrade-in-arms confesses his love for the young schoolgirl. Even in the most dire of situations, love can blossom...twice! -- VIZ Media

With the evil Brunei brothers hot on their trail, Noriko and her doomed warrior Izark follow Clairgeeta to the rebel enclave in the fortified city of Ennamarna. But the reunion with old friends is quickly interrupted. Corrupt local officials plan to oust the fugitives and turn the walled city into an enemy military base. While Noriko and Izark once again use their power to save their friends from greedy government, their enemies in Reinka are joining forces, mixing up new magic that they hope will bring the evil prophecy that much closer to coming true.

While nothing could have prepared Rio for meeting Nidoll, the eccentric emperor of Proxia, receiving information on Lucius’ whereabouts whisks him off on his way to his next destination. As Rio’s chance to settle the score with his nemesis in the Kingdom of Paladia fast approaches, Christina and Flora are abducted from an airship traveling over Rodania. Coincidentally, the two captive princesses end up in Paladia as well, but will their fates be sealed before Rio can intervene?

Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.