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Titlebook: Peer-to-Peer Computing for Mobile Networks; Information Discover Henning Schulzrinne,Maria Papadopouli Book 2009 Springer-Verlag US 2009 Di

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Heterogeneous Graph Neural Network for Multi-behavior Feature-Interaction Recommendation,action bipartite graph is helpful for learning the collaborative signals between users and items. However, this modeling scheme ignores the influence of the objectively existing attribute information of item itself, and cannot well explain why users focus on items..A feature interaction-based graph
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Aerodynamic Lift,-than-air machines (Figure 1.1)? To answer this question, we shall draw on our knowledge of steady and unsteady flow, ideal (inviscid) and real flow, Bernoulli’s theorem, and the boundary-layer concept. Along the way we will discover more about vortices and encounter a lawyer’s inspired guess about
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M82 — Tilt and Warp of its Principal Plane; (B-V). being the intrinsic colour of the population, taken, e.g. from population synthesis calculations. Corrections for scattered light were made using the degree of polarization as well as the excess ultraviolet light (see Notni and Bronkalla, 1983 ; Notni et al., 1981 for details).
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Polylogarithmic Private Approximations and Efficient Matching10]. Then, we relax the problem by defining the ., which requires introducing a notion of secure computation of approximations for functions that return sets of points rather than values. For this problem we give several protocols with sublinear communication.
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Einfacher Geldverkehr. Wertpapiere,eFootball junge Zielgruppen anzusprechen und diese an den Verein zu binden. Im besten Fall gelingt sogar ein Transfer vom virtuellen zum realen Fußball – und umgekehrt. Allerdings gibt es auch einige Risiken, die einige Verbände noch daran hindern, ein eFootball-Engagement zu starten. Die noch immer
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