On top-k structural similarity search

Author: jzhf

August undefined, 2024

Web1 de fev. de 2015 · From this perspective, it is reasonable to assume that structural-based similarity measure is worth thoroughly exploring for tackling similarity search problem in x-star networks. Many structural-based similarity measures can be found in previous work, such as SimRank (Jeh & Widom, 2002), P-Rank (Zhao et al., 2009) and SimFusion (Xi et … Web13 de abr. de 2024 · This latter MT branching pathway depends on a conserved protein complex called augmin 1. Augmin deficiencies show severe spindle defects, mitotic delay, and massive apoptosis, while conditional ...

Semantic Enhanced Top-k Similarity Search on Heterogeneous

Web22 de nov. de 2015 · Basic SimRank Equation Let's denote the similarity between objects a and b by s (a,b) ∈ [0, 1]. Following our earlier motivation, we write a recursive equation for s (a,b). If a = b then s (a, b) is defined to be 1. Otherwise, where C is a constant between 0 and 1. A slight technicality here is that either a or b may not have any in-neighbors. Web5 de abr. de 2012 · On Top-k Structural Similarity Search Abstract: Search for objects similar to a given query object in a network has numerous applications including web … highland tile bedrosians

Top-k Graph Similarity Search Based on Hierarchical Inverted Index ...

Web14 de abr. de 2024 · Continuous k-similarity trajectories search (short for CKST) over data stream is a fundamental problem in the domain of spatio-temporal database. Let … WebPanther: Fast Top-k Similarity Search in Large Networks Introduction. Estimating similarity between vertices is a fundamental issue in network analysis across various domains, such as social networks and biological networks. Methods based on common neighbors and structural contexts have received much attention. Web2 de jun. de 2016 · As an important way of music retrieval, Query-By-Humming has gained wide attention because of its effectiveness and convenience. This paper proposes a novel Top-K similarity search technique, which provides fast retrieval for Query-By-Humming.We propose a distance function MDTW for multi-dimensional sequence … highland theological college

Efficient link-based similarity search in web networks

Web18 de jun. de 2024 · Similarity searches on heterogeneous information networks (HINs) have attracted wide attention from both industrial and academic areas in recent years; for example, they have been used for friend detection in social networks and collaborator recommendation in coauthor networks. The structural information on the HIN can be … highland tilesWebSearch for objects similar to a given query object in a network has numerous applications including web search and collaborative filtering. We use the notion of structural … small lunch bags for ladies

"WebSearch for objects similar to a given query object in a network has numerous applications including web search and collaborative filtering. We use the notion of structural similarity to capture the commonality of two objects in a network, e.g., if two nodes are referenced by the same node, they may be similar. " - On top-k structural similarity search

On top-k structural similarity search

Web10 de abr. de 2015 · Panther: Fast Top-k Similarity Search in Large Networks. Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li. Estimating similarity between … Web22 de set. de 2024 · In this section, we will introduce related works of Network Embedding and top-k Similarity Search on heterogeneous information networks. 2.1 Network Embedding. In recent years, with the development of heterogeneous information networks [], a large number of network embedding methods for HINs emerged.Utilizing node …

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Web1 de nov. de 2024 · Methods. In this section, we show a framework of the top k picture semantic similarity search, which is divided into two stages. The first stage is to build a picture-tag network by “description” relationships between pictures and tags, in which pictures and tags are regarded as nodes, and relationships between the pictures and the … Web5 de dez. de 2009 · 20. Dissimilarity & Library Design • Brute force – Evaluate similarity between new molecules and the library and keep those with low Tc • Sophis/cated – Use sta/s/cal techniques to eﬀec/vely sample diﬀerent regions …

http://chemmine.ucr.edu/eisearch/query/ Web21 de ago. de 2024 · A sampling-based method using random paths to estimate the similarities based on both common neighbors and structural contexts efficiently in very …

Web1 de dez. de 2015 · (Top-k similarity search under WebSim). In a web network G = (V, E), the top-k similarity search for a given entity q is to find k most similar entities ranked with similarities descending, such that R 2 (q, a) ≥ R 2 (q, a′) for a in the returning list and a′ not, where R 2 is the similarity function under WebSim. WebSim-baseline Web1 de nov. de 2024 · In this paper, we study the problem of retrieving top-k nodes that are similar to a given query node in large dynamic attributed networks.To tackle this problem, we propose a fast Attribute augmented Single-source Path similarity algorithm (ASP).Our ASP constructs an attribute augmented network that integrates both node structure and …

Web23 de mai. de 2024 · Graph similarity search is an important research problem in many applications, such as finding result graphs that have a similar structure to a given entity in biochemistry, data mining, and pattern recognition. Top-k graph similarity search is one of graph similarity search tasks, which aims to find the top-k graphs that are most similar …

WebPathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks Yizhou Sun† Jiawei Han† Xifeng Yan‡ Philip S. Yu§ Tianyi Wu † University of Illinois at Urbana-Champaign, Urbana, IL ‡ University of California at Santa Barbara, Santa Barbara, CA § University of Illinois at Chicago, Chicago, IL Microsoft Corporation, … small lund boats for saleWebStructural Similarity Search. Search is performed against the PubChem Compound Database or the ChEMBL database, using one of two algorithm and database options: PubChem Fingerprint algorithm: Searches a "cleaned up" version of the PubChem Compound database (excluding some very similar compounds and some salts) by … small lurcher pups for saleWebPathSim: Meta PathBased TopK Similarity Search in Heterogeneous Information Networks Yizhou Sun† Jiawei Han† Xifeng Yan‡ Philip S. Yu§ Tianyi Wu⋄ † University of Illinois at UrbanaChampaign, Urbana, IL ‡ University of California at Santa Barbara, Santa Barbara, CA § University of Illinois at Chicago, Chicago, IL ⋄ Microsoft Corporation, Redmond, WA highland tiles.comWeb10 de abr. de 2015 · Panther: Fast Top-k Similarity Search in Large Networks. Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li. Estimating similarity between vertices is a fundamental issue in network analysis across various domains, such as social networks and biological networks. Methods based on common neighbors and structural … highland theological college staffWeb31 de jan. de 2024 · In order to perform top-k retrieval of similar nodes in complex networks, Zhang Jing et al. proposed a method based on random path sampling-Panther , which … small lurchers needing homesWebSearch for objects similar to a given query object in a network has numerous applications including web search and collaborative filtering. We use the notion of structural … small lurches cabinet on wheelsWeb14 de abr. de 2024 · Author summary The hippocampus and adjacent cortical areas have long been considered essential for the formation of associative memories. It has been recently suggested that the hippocampus stores and retrieves memory by generating predictions of ongoing sensory inputs. Computational models have thus been proposed … small lung capacity