A Hyperbolic Graph Neural Network Model with Contrastive Learning for Rating–Review Recommendation [PDF]
EntropyIn recommender systems research, the data sparsity problem has driven the development of hybrid recommendation algorithms integrating multimodal information and the application of graph neural networks (GNNs).
Shuyun Fang, Junling Wang, Fukun Chen
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Singularly perturbed hyperbolic problems on metric graphs: asymptotics of solutions
Open Mathematics, 2017 We are interested in the evolution phenomena on star-like networks composed of several branches which vary considerably in physical properties. The initial boundary value problem for singularly perturbed hyperbolic differential equation on a metric graph
Golovaty Yuriy, Flyud Volodymyr
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Hyperbolic Graph Convolutional Neural Networks. [PDF]
Adv Neural Inf Process Syst, 2019 Published at Conference NeurIPS 2019.
Chami I, Ying R, Ré C, Leskovec J.
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Hyperbolic multi-channel hypergraph convolutional neural network based on multilayer hypergraph [PDF]
Scientific ReportsIn recent years, hypergraph neural networks have achieved remarkable success in tasks such as node classification, link prediction, and graph classification, thanks to their powerful computational capabilities.
Libing Bai +4 more
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An efficient intelligent transportation system for traffic flow prediction using meta-temporal hyperbolic quantum graph neural networks [PDF]
Scientific ReportsIntelligent Transportation Systems (ITS) necessitate scalable, real-time, and adaptive traffic flow prediction models to enhance urban mobility and alleviate congestion.
Manikandan Rajagopal +7 more
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Multi-order hyperbolic graph convolution and aggregated attention for social event detection. [PDF]
PLoS ONESocial event detection (SED) aims to identify real-world events from large-scale social media streams and has become essential for applications in public safety, marketing analytics, and crisis management.
Yao Liu +3 more
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Hyperbolic Spatial Covariance Modeling with Adaptive Signal Filtering for Robust Wi-Fi Indoor Positioning [PDF]
SensorsRobust indoor positioning, crucial to modern location-based services, increasingly leverages Channel State Information (CSI) for its superior multipath resolution over the traditional RSSI.
Wenxu Wang, Mingxiang Liu
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Knot graphs and Gromov hyperbolicity [PDF]
Mathematische Zeitschrift, 2022 We define a broad class of graphs that generalize the Gordian graph of knots. These knot graphs take into account unknotting operations, the concordance relation, and equivalence relations generated by knot invariants. We prove that overwhelmingly, the knot graphs are not Gromov hyperbolic, with the exception of a particular family of quotient knot ...
Stanislav Jabuka +2 more
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Egyptian Informatics Journal, 2023 Knowledge graph completion employs existing triples to deduce missing data, thereby enriching and enhancing graph completeness. Recent research has revealed that using hyperbolic representation learning in knowledge graph completion yields superior ...
Xiaodong Zhang +3 more
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Gromov Hyperbolicity in Directed Graphs [PDF]
Symmetry, 2020 In this paper, we generalize the classical definition of Gromov hyperbolicity to the context of directed graphs and we extend one of the main results of the theory: the equivalence of the Gromov hyperbolicity and the geodesic stability. This theorem has potential applications to the development of solutions for secure data transfer on the internet.
Ana Portilla +3 more
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