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Graph Representation Learning
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 sy...
The Stock Market Barometer
The late William P. Hamilton originally published The Stock Market Barometer in 1922. Hamilton spent a career in financial journalism and became an editor of The Wall Street Journal.
William, An Englishman
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Deep Learning on Graphs
A comprehensive text on foundations and techniques of graph neural networks with applications in NLP, data mining, vision and healthcare.
Nature's Oracle
W.D.Hamilton (1936-2000) was responsible for a revolution in thinking about evolutionary biology - a revolution that changed our understanding of life itself. He played a central role in the realization that what matters in evolution is not the survival of the individual but of the survival of its genes. This provided the solution to the long standing problem of animal altruism that vexed even Darwin himself, and in due course resulted in terms like selfish genes, kin selection, and sociobiology becoming familiar to a wider public. Hamilton went on to solve many more major problems, and open up ever new fields - he shaped much of our current understanding of central problems including the ev...
