20131216 Stat Journal

•Download as PPTX, PDF•

3 likes•1,175 views

This document describes a new algorithm called GRAph ALigner (GRAAL) for topological network alignment. GRAAL aims to provide a unique global alignment of nodes between two networks based solely on topological similarity, without using other a priori information. It works by first finding a dense core between the networks to seed the alignment, then expanding outwards in spheres of increasing radius to align additional nodes. The alignment score is based on the percentage of edges from the first network that are correctly aligned to edges in the second network. The algorithm is tested on sample networks and achieves an edge correctness of 0.089.

Technology

Topological network alignment
20131216
Statistics journal

Result
G

H

G(V, E)

H(U, F)

EC = 0.089

Motivation
large-scale networks such as interactome
Yeast

Human

Are two networks the same or similar?

Theoretical background
Network or Graph
Collection of nodes (vertex) and connections between them (edges).
Biology, social communication, and web pages

Theoretical background
G

H

G(V, E)

H(U, F)

Theoretical background
Graph comparison
Subgraph isomorphism
Is G an exact subgraph of H?
NP-complete
Efficient algorithms are not known.

G

H

G(V, E)

Graph alignment
Fitting G into H
Edge correctness (EC): the % of E aligned to F
NP-hard

H(U, F)

Previous approaches
Local alignment : ambiguous, different pairing
Mapping are chosen independently for local regions of similarity.
PathBLAST : homology information
NetworkBLAST : conserved protein clusters with likelihood method
MaWISh : evolution (sequence alignment)
GRAEMLIN : dense conserved subgraph with phylogeny

Global alignment
Provide unique alignment from each node in smaller graph to
exactly one node in larger graph
ISORANK : maximize overall match
GRAEMLIN : training from known graph alignments and phylogeny

New approaches
Never use a priori information
Sequence, Homology, Clusters, Phylogeny ,and Known alignments

Topological similarity
Orbit, graphlet, and signature similarity

Of course, a priori information can be used.

そう、GRAAL ならね

n-node graphlet and automorphism orbits

orbit

Topologically
relevant

graphlet

Topologically
relevant

Topologically
relevant

GRAph ALigner algorithm (GRAAL)

density

topology

*
G

H

G(V, E)

H(U, F)

GRAAL
Search the densest part and align.
Search the minimal cost nodes pair (seed).
If multi-minimal cost pairs, chosen randomly.

G(V, E)

H(U, F)

GRAAL
Make spheres and align.

G(V, E)

H(U, F)

GRAAL
Expand radii of spheres and align.

Aligned node
G(V, E)

H(U, F)

GRAAL
Expand radii of spheres up to 3.

Aligned node
G(V, E)

H(U, F)

GRAAL
Expand radii of spheres up to 3.

Aligned node
G(V, E)

H(U, F)
Some nodes are not aligned.

GRAAL
Nodes in G are aligned to exactly one node in H.

Aligned node
G(V, E)

H(U, F)

Alignment score

G

H

G(V, E)

GRAAL function
The correct node mapping G to H

H(U, F)

Statistical significance

The number of node pairs in H.
Edge correctness
The number of edges from G that are aligned to edges in H.

G

H

G(V, E)

H(U, F)

By examining the use of algorithms to solve the Prize Collecting Steiner Tree (PCST) problem we consider the facets which determine effectiveness. Specifically, by measuring a number of solution approaches and comparing them based on metrics. In order to understand the solution approach we must asses why it is useful. Our goal is to determine the effectiveness of Mixed Integer Programming (MIP) and heuristic methods. Utilizing freely available street and address data a base graph representation is created and then computed on. Such that a tree connects every address utilizing the minimum total length of edges from the street network. This is the basis of many approaches used to solve infrastructure problems including telecommunications network design and costing. The analysis is conducted on methods developed by Hegde et al. 2015, Ljubić et al. 2006, and Teitz et al. 1963. We present a data processing architecture, as well as a concise set of results and a framework for assessing the facets and trade-offs for a given approach. In this case the heuristic approaches are proven to have advantages in the simplistic case but fail when more complex requirements are added. This is where the MIP approach is able to capitalize, whilst detrimentally limiting the flexibility due to the strictness and specificity in modelling.

Geographic Information Systems (May - 2018) [IDOL - Old Course | Question Paper]

Mumbai B.Sc.IT Study

Geographic Information Systems (May - 2018) [IDOL - Old Course | Question Paper] may - 2018, idol - old course, mumbai bscit study, mumbai university, bscit semester vi, bscit question paper, old question paper, previous year question paper, semester vi question paper, question paper, CBSGS, IDOL, kamal t, C#, Customer Relations Management, Geographic Information Systems, Internet Technologies, IT Laws And Patents, Project Management, Strategic IT Management, Total Supply Chain Management,

8th TUC Meeting | Lijun Chang (University of New South Wales). Efficient Subg...

LDBC council

R and Visualization: A match made in Heaven

Edureka!

"A Metaheuristic Search Technique for Graceful Labels of Graphs" by J. Ernst...

Jon Ernstberger

"A Metaheuristic Search Technique for Graceful Labels of Graphs" by J. Ernstb...

Jon Ernstberger

Computational techniques have been presented that will identify a graceful labeling for a given graph provided one exists, thereby confirming that the graph is indeed graceful. Supported by the necessary theory to guarantee a solution, these routines primarily rely upon constrained iterative methods and are often quite computationally expensive. A number of other methods for graceful labelings have been proposed, including those employing deterministic backtracking and tabu search, among others. Here, a genetic algorithm-inspired, metaheuristic search technique to attempt to ascertain graceful labels, via a modified objective functional, that operates on simple graphs is presented. This broad-spectrum method will be discussed and compared to previous techniques.

Tutorials at ACM RecSys 2013 Social Networks Learning to Rank Beyond Friendship Pref. Handling Beyond Friendship: The Art, Science and Applications of Recommending People to People in Social Networks by Luiz Augusto Pizzato (University of Sydney, Australia) & Anmol Bhasin (LinkedIn, USA) While Recommender Systems are powerful drivers of engagement and transactional utility in social networks, People recommenders are a fairly involved and diverse subdomain. Consider that movies are recommended to be watched, news is recommended to be read, people however, are recommended for a plethora of reasons – such as recommendation of people to befriend, follow, partner, targets for an advertisement or service, recruiting, partnering romantically and to join thematic interest groups. This tutorial aims to first describe the problem domain, touch upon classical approaches like link analysis and collaborative filtering and then take a rapid deep dive into the unique aspects of this problem space like Reciprocity, Intent understanding of recommender and the recomendee, Contextual people recommendations in communication flows and Social Referrals – a paradigm for delivery of recommendations using the Social Graph. These aspects will be discussed in the context of published original work developed by the authors and their collaborators and in many cases deployed in massive-scale real world applications on professional networks such as LinkedIn. Introduction The basics of Social Recommenders People recommender systems Special Topics in People Recommenders Why reciprocal (people) recommenders are different to traditional (product) recommendations Multi-Objective Optimization Intent Understanding Feature Engineering Social Referral Pathfinding Concluding remarks The pre-requisite for this tutorial is some familiarity with foundational Recommender Systems, Data Mining, Machine Learning and Social Network Analysis literature. Date Oct 13, 2013 (08:30 – 10:15)

プロトタイプで終わらせない死の谷を超える機械学習プロジェクトの進め方　#MLCT4

shakezo

Data Scientist Workbench 入門

soh kaijima

データサイエンティストのための Spark 入門昨今、データサイエンティストの間で「Spark」の人気が高まっています。データをインメモリで高速に処理できるSparkを使うと、大規模なデータを扱う際にもストレスなく分析できます。今回の第３回 Big Data University - 東京ミートアップでは、RStudioで作ったプログラムを Spark上で実行してみる方法を解説します。また、合わせて、Rや Sparkとの対話環境である Data Scientist Workbench の使い方を紹介します。こちらは前半資料となります。

Pythonで機械学習入門以前

Kimikazu Kato

2016-06-15 Sparkの機械学習の開発と活用の動向

Yu Ishikawa

How AlphaGo Works

Shane (Seungwhan) Moon

計量経済学と機械学習の交差点入り口（公開用）

Shota Yasui

160924 Deep Learning Tuningathon

Takanori Ogata

機械学習ビジネス研究会第01回

Yuta Kashino

Practical recommendations for gradient-based training of deep architectures

Koji Matsuda

What's hot

Data visualization using R

Ummiya Mohammedi

R and Visualization: A match made in Heaven

Edureka!

9.6 notes

Mrs. Hedrick's Class

9.6 notesMrs. Hedrick's Class

Presentation on Bayesian Structure from Motion

Aaron Karper

An Evaluation of Models for Runtime Approximation in Link Discovery

Holistic Benchmarking of Big Linked Data

CEDAR & PRELIDA Preservation of Linked Socio-Historical Data

PRELIDA Project

Lecture 28

Shani729

Mahaviracharya (hindi)

dgupta330

Graphs data Structure

Mahmoud Alfarra

DATA VISUALIZATION WITH R PACKAGES

Fatma ÇINAR

2. cs8451 daa anna univ question bank unit 2

P. Subathra Kishore, KAMARAJ College of Engineering and Technology, Madurai

What's hot (12)

Data visualization using R

R and Visualization: A match made in Heaven

9.6 notes

Presentation on Bayesian Structure from Motion

An Evaluation of Models for Runtime Approximation in Link Discovery

CEDAR & PRELIDA Preservation of Linked Socio-Historical Data

Lecture 28

Mahaviracharya (hindi)

Graphs data Structure

DATA VISUALIZATION WITH R PACKAGES

2. cs8451 daa anna univ question bank unit 2

Viewers also liked

Tutorial on People Recommendations in Social Networks - ACM RecSys 2013,Hong...

Anmol Bhasin

プロトタイプで終わらせない死の谷を超える機械学習プロジェクトの進め方　#MLCT4

shakezo

Data Scientist Workbench 入門

soh kaijima

Pythonで機械学習入門以前

Kimikazu Kato

2016-06-15 Sparkの機械学習の開発と活用の動向

Yu Ishikawa

How AlphaGo Works

Shane (Seungwhan) Moon

計量経済学と機械学習の交差点入り口（公開用）

Shota Yasui

160924 Deep Learning Tuningathon

Takanori Ogata

機械学習ビジネス研究会第01回

Yuta Kashino

Practical recommendations for gradient-based training of deep architectures

Koji Matsuda

言語と画像の表現学習

Yuki Noguchi

野良ビッグデータへのお誘い

Masanori Takano

Viewers also liked (12)

Tutorial on People Recommendations in Social Networks - ACM RecSys 2013,Hong...

プロトタイプで終わらせない死の谷を超える機械学習プロジェクトの進め方　#MLCT4

Data Scientist Workbench 入門

Pythonで機械学習入門以前

2016-06-15 Sparkの機械学習の開発と活用の動向

How AlphaGo Works

計量経済学と機械学習の交差点入り口（公開用）

160924 Deep Learning Tuningathon

機械学習ビジネス研究会第01回

Practical recommendations for gradient-based training of deep architectures

言語と画像の表現学習

野良ビッグデータへのお誘い

Similar to 20131216 Stat Journal

11.characterization of connected vertex magic total labeling graphs in topolo...

Alexander Decker

4. [22 25]characterization of connected vertex magic total labeling graphs in...Alexander Decker

4. [22 25]characterization of connected vertex magic total labeling graphs in...

Alexander Decker

4. [22 25]characterization of connected vertex magic total labeling graphs in...

Alexander Decker

Graph theory and life

Milan Joshi

ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY

Fransiskeran

On algorithmic problems concerning graphs of higher degree of symmetry

graphhoc

Since the ancient determination of the five platonic solids the study of symmetry and regularity has always been one of the most fascinating aspects of mathematics. One intriguing phenomenon of studies in graph theory is the fact that quite often arithmetic regularity properties of a graph imply the existence of many symmetries, i.e. large automorphism group G. In some important special situation higher degree of regularity means that G is an automorphism group of finite geometry. For example, a glance through the list of distance regular graphs of diameter d < 3 reveals the fact that most of them are connected with classical Lie geometry. Theory of distance regular graphs is an important part of algebraic combinatorics and its applications such as coding theory, communication networks, and block design. An important tool for investigation of such graphs is their spectra, which is the set of eigenvalues of adjacency matrix of a graph. Let G be a finite simple group of Lie type and X be the set homogeneous elements of the associated geometry. The complexity of computing the adjacency matrices of a graph Gr on the vertices X such that Aut GR = G depends very much on the description of the geometry with which one starts. For example, we can represent the geometry as the totality of 1 cosets of parabolic subgroups 2 chains of embedded subspaces (case of linear groups), or totally isotropic subspaces (case of the remaining classical groups), 3 special subspaces of minimal module for G which are defined in terms of a G invariant multilinear form. The aim of this research is to develop an effective method for generation of graphs connected with classical geometry and evaluation of its spectra, which is the set of eigenvalues of adjacency matrix of a graph. The main approach is to avoid manual drawing and to calculate graph layout automatically according to its formal structure. This is a simple task in a case of a tree like graph with a strict hierarchy of entities but it becomes more complicated for graphs of geometrical nature. There are two main reasons for the investigations of spectra: (1) very often spectra carry much more useful information about the graph than a corresponding list of entities and relationships (2) graphs with special spectra, satisfying so called Ramanujan property or simply Ramanujan graphs (by name of Indian genius mathematician) are important for real life applications (see [13]). There is a motivated suspicion that among geometrical graphs one could find some new Ramanujan graphs.

Table of Contents-.pptx

AmitPal940286

THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSES

graphhoc

Testing Forest-Isomorphismin the Adjacency List Modelirrrrr

Bodecoban ngobaochau

Duong Tran

Fact checking using Knowledge graphs (course: CS584 @Emory U) 

Ramraj Chandradevan

Graphs

PRINCE KUMAR

On Convolution of Graph Signals and Deep Learning on Graph Domains

Jean-Charles Vialatte

Algorithm for Edge Antimagic Labeling for Specific Classes of Graphs

CSCJournals

Graph labeling is a remarkable field having direct and indirect involvement in resolving numerous issues in varied fields. During this paper we tend to planned new algorithms to construct edge antimagic vertex labeling, edge antimagic total labeling, (a, d)-edge antimagic vertex labeling, (a, d)-edge antimagic total labeling and super edge antimagic labeling of varied classes of graphs like paths, cycles, wheels, fans, friendship graphs. With these solutions several open issues during this space can be solved.

On the Equality of the Grundy Numbers of a Graph

josephjonse

Our work becomes integrated into the general problem of the stability of the network ad hoc. Some, works attacked(affected) this problem. Among these works, we find the modelling of the network ad hoc in the form of a graph. Thus the problem of stability of the network ad hoc which corresponds to a problem of allocation of frequency amounts to a problem of allocation of colors in the vertex of graph. we present use a parameter of coloring " the number of Grundy”. The Grundy number of a graph G, denoted by Γ(G), is the largest k such that G has a greedy k-coloring, that is a coloring with colours obtained by applying the greedy algorithm according to some ordering of the vertices of G. In this paper, we study the Grundy number of the lexicographic, Cartesian and direct products of two graphs in terms of the Grundy numbers of these graphs.

Data Structures and Agorithm: DS 21 Graph Theory.pptx

RashidFaridChishti

On the equality of the grundy numbers of a graph

ijngnjournal

Graph theory concepts complex networks presents-rouhollah nabati

nabati

Novel set approximations in generalized multi valued decision information sys...Soaad Abd El-Badie

Similar to 20131216 Stat Journal (20)

11.characterization of connected vertex magic total labeling graphs in topolo...

4. [22 25]characterization of connected vertex magic total labeling graphs in...

Graph theory and life

ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY

On algorithmic problems concerning graphs of higher degree of symmetry

Table of Contents-.pptx

THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSES

Testing Forest-Isomorphismin the Adjacency List Model

Bodecoban ngobaochau

Fact checking using Knowledge graphs (course: CS584 @Emory U) 

Graphs

On Convolution of Graph Signals and Deep Learning on Graph Domains

Algorithm for Edge Antimagic Labeling for Specific Classes of Graphs

On the Equality of the Grundy Numbers of a Graph

Data Structures and Agorithm: DS 21 Graph Theory.pptx

On the equality of the grundy numbers of a graph

Graph theory concepts complex networks presents-rouhollah nabati

Novel set approximations in generalized multi valued decision information sys...

Recently uploaded

SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf

Peter Spielvogel

Building better applications for business users with SAP Fiori. • What is SAP Fiori and why it matters to you • How a better user experience drives measurable business benefits • How to get started with SAP Fiori today • How SAP Fiori elements accelerates application development • How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities • How SAP Fiori paves the way for using AI in SAP apps

Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...

Ramesh Iyer

In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.

Monitoring Java Application Security with JDK Tools and JFR Events

Ana-Maria Mihalceanu

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Thierry Lestable

A tale of scale & speed: How the US Navy is enabling software delivery from l...

sonjaschweigert1

Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved: - Reduction in onboarding time from 5 weeks to 1 day - Improved developer experience and productivity through actionable findings and reduction of false positives - Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO) Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production. We will cover: - How to remove silos in DevSecOps - How to build efficient development pipeline roles and component templates - How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence) - How to streamline operations with automated policy checks on container images

Transcript: Selling digital books in 2024: Insights from industry leaders - T...

BookNet Canada

The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more. Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/ Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.

Essentials of Automations: Optimizing FME Workflows with Parameters

Safe Software

Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place. Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects. Here’s what you’ll gain: - Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows. - Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy. - Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency. - Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity. We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic. Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.

Quantum Computing: Current Landscape and the Future Role of APIs

Vlad Stirbu

Key Trends Shaping the Future of Infrastructure.pdf

Cheryl Hung

PHP Frameworks: I want to break free (IPC Berlin 2024)

Ralf Eggert

In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development. This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

James Anderson

Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management. The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM). Speakers: Bob Boule Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle. Gopinath Rebala Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.

Accelerate your Kubernetes clusters with Varnish Caching

Thijs Feryn

PCI PIN Basics Webinar from the Controlcase Team

ControlCase

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

Sri Ambati

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

FIDO Alliance

GraphRAG is All You need? LLM & Knowledge Graph

Guy Korland

Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs. 1. Unifying Large Language Models and Knowledge Graphs: A Roadmap. https://arxiv.org/abs/2306.08302 2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs: https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/

Elizabeth Buie - Older adults: Are we really designing for our future selves?

Nexer Digital

FIDO Alliance Osaka Seminar: Overview.pdf

FIDO Alliance

Introduction to CHERI technology - Cybersecurity

mikeeftimakis1

Encryption in Microsoft 365 - ExpertsLive Netherlands 2024

Albert Hoitingh

Recently uploaded (20)