
AMLSVM: Adaptive Multilevel Learning with Support Vector Machines
The support vector machines (SVM) is one of the most widely used and pra...
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Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization
Graph representation learning based on graph neural networks (GNNs) can ...
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Recent Advances in Scalable Network Generation
Random graph models are frequently used as a controllable and versatile ...
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CBAG: Conditional Biomedical Abstract Generation
Biomedical research papers use significantly different language and jarg...
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AGATHA: Automatic Graphmining And Transformer based Hypothesis generation Approach
Medical research is risky and expensive. Drug discovery, as an example, ...
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On Modeling Local Search with SpecialPurpose Combinatorial Optimization Hardware
Many combinatorial scientific computing problems are NPhard which in pr...
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Multilevel Combinatorial Optimization Across Quantum Architectures
Emerging quantum processors provide an opportunity to explore new approa...
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Hypergraph Partitioning With Embeddings
The problem of placing circuits on a chip or distributing sparse matrix ...
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Partition Hypergraphs with Embeddings
The problem of placing circuits on a chip or distributing sparse matrix ...
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FOBE and HOBE: First and HighOrder Bipartite Embeddings
Typical graph embeddings may not capture typespecific bipartite graph f...
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Multilevel Graph Partitioning for ThreeDimensional Discrete Fracture Network Flow Simulations
We present a topologybased method for meshpartitioning in threedimens...
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Community Detection Across Emerging Quantum Architectures
One of the roadmap plans for quantum computers is an integration within ...
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Spatiotemporal prediction of crimes using network analytic approach
It is quite evident that majority of the population lives in urban area ...
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Spatiotemproal prediction of crimes using network analytic approach
It is quite evident that majority of the population lives in urban area ...
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Are Abstracts Enough for Hypothesis Generation?
The potential for automatic hypothesis generation (HG) systems to improv...
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Multiscale Planar Graph Generation
The study of network representations of physical, biological, and social...
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Aggregative Coarsening for Multilevel Hypergraph Partitioning
Algorithms for many hypergraph problems, including partitioning, utilize...
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Validation and Topicdriven Ranking for Biomedical Hypothesis Generation Systems
Literature underpins research, providing the foundation for new ideas. B...
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RelaxationBased Coarsening for Multilevel Hypergraph Partitioning
Multilevel partitioning methods that are inspired by principles of multi...
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MOLIERE: Automatic Biomedical Hypothesis Generation System
Hypothesis generation is becoming a crucial timesaving technique which ...
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Algebraic multigrid support vector machines
The support vector machine is a flexible optimizationbased technique wi...
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Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)
Topic modeling, a method for extracting the underlying themes from a col...
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Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values
This work is motivated by the needs of predictive analytics on healthcar...
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Fast Imbalanced Classification of Healthcare Data with Missing Values
In medical domain, data features often contain missing values. This can ...
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Fast Multilevel Support Vector Machines
Solving different types of optimization models (including parameters fit...
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Ilya Safro
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