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Joint Embedding of Graphs [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Feature extraction and dimension reduction for networks is critical in a wide variety of domains. Efficiently and accurately learning features for multiple graphs has important applications in statistical inference on graphs. We propose a method to jointly embed multiple undirected graphs.
Shangsi Wang +3 more
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Knowledge Graph Embedding-Based Domain Adaptation for Musical Instrument Recognition
Computers, 2021 Convolutional neural networks raised the bar for machine learning and artificial intelligence applications, mainly due to the abundance of data and computations.
Victoria Eyharabide +2 more
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Corrigendum to "Embedding Graphs into Colored Graphs" [PDF]
Transactions of the American Mathematical Society, 1992 The authors give a corrected exposition of the proof of Theorem 12 of their quoted paper [ibid. 307, No. 1, 395-409 (1988; Zbl 0659.03029)].
Hajnal, András, Komjáth, P.
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A Toroidal Maxwell–Cremona–Delaunay Correspondence
Journal of Computational Geometry, 2022 We consider three classes of geodesic embeddings of graphs on Euclidean flat tori: • A toroidal graph embedding Γ is positive equilibrium if it is possible to place positive weights on the edges, such that the weighted edge vectors incident to each ...
Jeff Erickson, Patrick Lin
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Genus Distribution for a Graph [PDF]
, 2009 In this paper we develop the technique of a distribution decomposition for a graph. A formula is given to determine genus distribution of a cubic graph.
Liangxia, Wan +2 more
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A Novel Global Prototype-Based Node Embedding Technique
IEEE Access, 2022 Node embedding refers to learning or generating low-dimensional representations for nodes in a given graph. In the era of big data and large graphs, there has been a growing interest in node embedding across a wide range of applications, ranging from ...
Zyad Alkayem +4 more
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Graph Embedding With Data Uncertainty [PDF]
IEEE Access, 2022 20 pages, 4 ...
Laakom, Firas +5 more
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Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion [PDF]
Lecture Notes in Computer Science, 2020 Alexandros Kalousis, Dimitris Kiritsis
exaly +1 more source
Intersection Graphs in Simultaneous Embedding with Fixed Edges
Journal of Graph Algorithms and Applications, 2009 We examine the problem for two planar graphs G1 and G2 with the focus on their intersection S = G1∩G2. In particular, we will present the complete set of intersection graphs S that guarantee a for (G1,G2).
Michael Jünger, Michael Schulz
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Attribute Graph Clustering Based on Self-Supervised Spectral Embedding Network
IEEE Access, 2023 Attribute graph clustering requires joint modeling of both graph structure and node properties, which is challenging. In recent years, graph neural networks have been utilized to mine deep information on attribute graphs through feature aggregation ...
Xiaolin Ning +3 more
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