graph partitioning algorithms
Graph partitioning algorithms for detecting functional module from yeast protein interaction network
... Recently, many researchers have put a great deal of effort to elucidating the functional organisation of protein interaction networks, all of which aims at gaining a better understanding of cellular mechanisms. Since the ...
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S3 TM : scalable streaming short text matching
... cut-based graph partitioning algorithms that do not care about load balance (gC and gFC) provide the low- est ...these algorithms place fre- quently co-occurring words to the same ...The ...
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Similarity Driven Semantic Role Induction via Graph Partitioning
... multi-layer graph partitioning ...single-layer graph whose edge weights express instance-wise similarities ...The graph is partitioned into vertex clusters representing semantic roles using a ...
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Learning Field Compatibilities to Extract Database Records from Unstructured Text
... Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper presents a record extraction sys- tem ...
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Dynamic algorithms for graph coloring
... 3.2 Maintaining the hierarchical partition. Ini- tially when the graph is empty, all the vertices are at level 4. This satisfies both the invariants vacuously. Subsequently, we ensure that the hierarchical ...
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RBSEP: a reassignment and buffer based streaming edge partitioning approach
... years, partitioning of large scale graphs has become a challenging issue and has absorbed many researchers’ ...interest. Graph partitioning is an NP-hard prob- lem, and often solved by edge-cut and ...
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Making Fast Graph based Algorithms with Graph Metric Embeddings
... original graph-based metrics to Ham- ming distance between 128D FSE binary embed- dings (Subercaze et ...between graph nodes (as in ShP or LCH) is in the best case linear in the number of nodes and ...
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Clustering Techniques in Data Mining
... clustering algorithms have been developed for different purposes [4] [2] ...and partitioning clustering techniques ...and partitioning classes, there are several clustering techniques that are ...
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Compression methods for graph algorithms
... Running Time For Original and Modified Algorithms Versus Number of Maximal Independent Sets.. Time per Maximal Independent Set Versus Ratio of Procedure Calls For The Original Algorithm.[r] ...
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Soft Computing Approach for digital Circuit Layout based on Graph Partitioning
... The main objects in VLSI design are placements of rectangles and lines, and the basic problems in physical design deal with arrangements of these rectangles on circuit layout. The relationship between these objects, such ...
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INVESTIGATION STUDY: AN INTENSIVE ANALYSIS FOR MSA LEADING METHODS
... and graph partitioning. Indeed, the graph partitioning is to group the nodes of a graph in a generally predetermined number of homogeneous subgraphs by minimizing the number of links ...
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COBIT BENCHMARKING OF SYSTEM DEVELOPMENT GOVERNANCE FOR A GOVERNMENT AGENCY IN MALAYSIA
... various partitioning methods, to handle the exponentially growing demands of the ...existing partitioning techniques available like Hash and Range partitioning, but they are not effectively applied ...
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Clustering Optimal Algorithm- A Survey
... clustering algorithms are combined with consensus clustering to form the ...The algorithms are Cluster-Based Similarity Partitioning Algorithm (CSPA), Hyper-Graph Partitioning Algorithm ...
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Partitioning clustering algorithms for protein sequence data sets
... hierarchical, graph- based and partitioning ...or graph-based techniques and they were successfully ...with graph-based clustering. ProtoMap [14] and N-cut [15,16] methods use graph- ...
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Predictive evaluation of partitioning algorithms through runtime modelling
... the partitioning algorithm, and one for computing the set and halo sizes (the latter will henceforth be referred to as ...alternative partitioning algorithms, serialisation of code) to collecting ...
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Predictive Evaluation of Partitioning Algorithms through Runtime Modelling
... of partitioning algorithm when compared to ParMETIS and the geometric partitioning algorithm; 2) the serial variant of ParMETIS produces consistently better partitions than ParMETIS itself; and, 3) the ...
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Partitioning the Intrinsic Order Graph for Complex Stochastic Boolean Systems
... directed graph (di- graph, for short) whose vertices are the binary n-tuples of 0s and 1s, and whose edges go downward from u to v whenever u covers v (denoted by u v), that is, whenever u is intrinsically ...
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Using Graph Partitioning for Scalable Distributed Quantum Molecular Dynamics
... Regular graph partitioning, defined as the task of separating the vertices of a graph into roughly equal sets that minimize the edge cut between them, has been studied extensively from theoretical ...
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Computing Word Senses by Semantic Mirroring and Spectral Graph Partitioning
... This eigenpair is often referred to as the Fiedler value and the Fiedler vector. The entries in the Fiedler vector corresponds to the vertices in the graph. (We will assume that there is only one component in the ...
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Mapping for maximum performance on FPGA DSP blocks
... including around 20% of instances using all three sub-blocks. Overall, we see that the throughput achievable by existing methods is significantly less than what we are able to achieve through our proposed Inst and DSPRTL ...
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