Results 241 to 250 of about 56,011 (266)
Node Classification Method Based on Hierarchical Hypergraph Neural Network. [PDF]
Xu F, Xiong W, Fan Z, Sun L.
europepmc +1 more source
Functional Hypergraphs of Stock Markets. [PDF]
David JJ +5 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Next-item Recommendation with Sequential Hypergraphs
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020There is an increasing attention on next-item recommendation systems to infer the dynamic user preferences with sequential user interactions. While the semantics of an item can change over time and across users, the item correlations defined by user ...
Jianling Wang +4 more
semanticscholar +1 more source
Semisupervised Feature Extraction of Hyperspectral Image Using Nonlinear Geodesic Sparse Hypergraphs
IEEE Transactions on Geoscience and Remote Sensing, 2021Recently, the sparse representation (SR)-based graph embedding method has been extensively used in feature extraction (FE) tasks, but it is hard to reveal the complex manifold structure and multivariate relationship of samples in the hyperspectral image (
Yule Duan, Hong Huang, Tao Wang
semanticscholar +1 more source
Multicriteria cuts and size-constrained k-cuts in hypergraphs
Mathematical programming, 2020We address counting and optimization variants of multicriteria global min-cut and size-constrained min- k -cut in hypergraphs. 1. For an r -rank n -vertex hypergraph endowed with t hyperedge-cost functions, we show that the number of multiobjective min ...
Calvin Beideman +2 more
semanticscholar +1 more source

