PPT-Inductive Representation Learning on Large Graphs

William L Hamilton Rex Ying Jure Leskovec Keshav Balasubramanian Outline Main goal generating node embeddings Survey of past methods GCNs GraphSAGE Algorithm Optimization and learning Aggregators. . Summer 2009. 1. THE inductive Bible Study method. 2. How and Why to Read Books. The Bible is a special book. Divinely inspired, living and active. Studying literature vs. studying the Bible. English Scholars have many methods and can have many purposes for interpretation. Chapter Three. Born to think – people simply cannot keep themselves from comparing and contrasting things, actions, feelings, and … you name it!. Inductive thinking is probably the basis for most forms of higher-order mental processes.. This chapter will cover. The use of statistical evidence in arguments. The reporting of statistical data. The use of causal generalizations. Inductive Reasoning. Inductive Reasoning. Evidence offers strong support ‘beyond a reasonable doubt’. based. . Knowledge. . Representation. . Formalism. . designed. for the . Meaning. -. Text. . Theory. & . Application to . Lexicographic. . Definitions. in the RELIEF . project. Maxime Lefrançois, Fabien . The other side of logic. Deduction . vs. Induction. Deduction – General to Specific. Induction – Specific to General. Inductive reasoning. Uses particular facts, common threads and ideas to draw a conclusion suggested by evidence. Misleading Graphs. Good . graphs are extremely powerful tools for displaying large quantities . of complex . data; they help turn the realms of information available today . into knowledge. . But, unfortunately, some graphs deceive or mislead. This . Daniel A. Spielman. Yale University. AMS Josiah Willard Gibbs Lecture. January . 6. , 2016 . From Applied to Pure Mathematics. Algebraic and Spectral Graph Theory. . . Sparsification. :. a. pproximating graphs by graphs with fewer edges. The vertical scale is too big or too small, or skips numbers, or doesn’t start at zero.. The graph isn’t labeled properly.. Data is left out.. But some real life misleading graphs go above and beyond the classic types. Some are intended to mislead, others are intended to shock. And in some cases, well-meaning individuals just got it all plain wrong. These are some of my favorite recent-history misleading graphs from real life.. Mimi . Opkins. CECS 100. Fall 2011. Problem Solving. Logic. – The science of correct reasoning.. Reasoning. – The drawing of inferences or conclusions from known or assumed facts.. When solving a problem, one must understand the question, gather all pertinent facts, analyze the problem i.e. compare with previous problems (note similarities and differences), perhaps use pictures or formulas to solve the problem.. Loads. John J. Stark. Marketing Services Coordinator, Russelectric Inc. .. (Refer to Russelectric Technical Brief:. . “Eliminating Power Transients When Switching Large Inductive Loads”). In Phase Monitor. To form conjectures through inductive reasoning. To disprove a conjecture with a counterexample. To avoid fallacies of inductive reasoning. Example 1. You’re at school eating lunch. You ingest some air while eating, which causes you to belch. Afterward, you notice a number of students staring at you with disgust. You burp again, and looks of distaste greet your natural bodily function. You have similar experiences over the course of the next couple of days. Finally, you conclude that belching in public is socially unacceptable. The process that lead you to this conclusion is called. CT 101. Dr. Bowman. Deductive argument. A . deductive argument.  is an argument that is intended by the arguer to be deductively valid, that is, to provide a guarantee of the truth of the conclusion provided that the argument's premises are true. . Lingxiao Ma. . †. , Zhi Yang. . †. , Youshan Miao. ‡. , Jilong Xue. ‡. , Ming Wu. ‡. , Lidong Zhou. ‡. , . Yafei. Dai. . †. †. . Peking University. ‡ . Microsoft Research. USENIX ATC ’19, Renton, WA, USA. 1. John D. Norton. Department of History and Philosophy of Science. University of Pittsburgh. June 29, 2022. Mangoletsi. -Potts Lectures 2022. Material Theory of Induction. 2. 3. This Talk. 4. There is no.