Distributed Large-scale Natural Graph Factorization

Source

• Evernote/Papers/Distributed Large-scale Natural Graph Factorization.md

Summary

이 문서는 Amr Ahmed 외 연구진이 작성한 ‘분산 대규모 자연 그래프 인자화’ 논문의 제목, 저자 목록 및 검색 링크만 포함하고 있습니다. 실제 논문 내용이나 요약은 포함되어 있지 않습니다.

Key Points

• 논문 제목: Distributed Large-scale Natural Graph Factorization
• 저자: Amr Ahmed, Nino Shervashidze, Shravan Narayanamurthy, Vanja Josifovski, Alexander J Smola
• 출처: Google Scholar 검색 결과 링크

Related

• Hierarchical Geographical Modeling of User locations from Social Media Posts

• The Nested Chinese Restaurant Franchise Process: User Tracking and Document Modeling

• Learning Entangled Single-Sample Gaussians

• Streaming Balanced Graph Partitioning for Random Graphs

• Achieving anonymity via clustering

• 대리 지리적 연구 지역 식별을 위한 고급 정확 검정 통계

• A Local Algorithm for Finding Well-Connected Clusters

• Acquisition of Noncontiguous Class Attributes from Web Search Queries

• Ad Click Prediction: a View from the Trenches

• Measurement and modeling of eye-mouse behavior

• Scalable Dynamic Nonparametric Bayesian Models of Content and Users

• Anti-forensic resilient memory acquisition

• Arrival and departure in Social Networks

• Coherent image selection using a fast approximation to the generalized traveling salesman problem

• Understanding Latency of Black-Box Service Workloads

• Optical design of a color-corrected 2.75 g visual loupe

• Label Partitioning for Sublinear Ranking

• Sok: The Evolution of Sybil Defense via Social Networks

• A Theoretical Examination of Practical Game Playing: Lookahead Search

• Energy and Cost Reduction in Localized Multisensory Systems through Application-Driven Compression

• A Semantic Matching Energy Function for Learning with Multi-relational Data

• Acquisition of Open-Domain Classes via Intersective Semantics

• A Semantic Matching Energy Function for Learning with Multi-relational Data

• Convergence and approximation in potential games

• Learning Semantic Representations Of Objects And Their Parts

• Recent Books and Journals in Public Opinion, Survey Methods, and Survey Statistics

• 정치학 박사 학위의 광범위한 가치

• Designing Markets for Daily Deals

• 공통 분석 및 MaxDiff 스케일링의 여론 조사 활용 잠재력

• 10 surprising social media statistics that might make you rethink your social strategy

• Revenue Maximization with Nonexcludable Goods

• How to approximate optimal auctions

• KDD 튜토리얼: 확장 가능한 혼합 멤버십 및 비모수 베이지안 모델 가이드

• Behavioural reconfigurable and adaptive data reduction in body sensor networks

• Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction

• Two-stage Robust Network Design with Exponential Scenarios

• Automated locality optimization based on the reuse distance of string operations

• Our checklist for improving mobile websites

• Affinity Weighted Embedding

• Conjoint Analysis in R: Individual-Level Utilities 및 Survey Mockups

• Scalability vs. Fault Tolerance in Aspen Trees

• Deep Learning via Semi-Supervised Embedding

• Defunctionalized Interpreters for Call-by-Need Evaluation

• Paradata in Web Surveys (Callegaro)

• Scalable Decipherment for Machine Translation via Hash Sampling

• Computational Social Science for the World Wide Web

• 크리스토퍼 알렉산더의 『패턴 랭귀지(A Pattern Language)』

• Token and Type Constraints for Cross-Lingual Part-of-Speech Tagging

• From mixed-mode to multiple devices. Web surveys, smartphone surveys and apps

• Speaker Adaptation of Context Dependent Deep Neural Networks

• Summarization Through Submodularity and Dispersion

• 가시성 그래프의 미해결 문제들 (Unsolved problems in visibility graphs)

• Korea Globe Column (Document 20640)

• Whole-page optimization and submodular welfare maximization with online bidders

• Target Language Adaptation of Discriminative Transfer Parsers

• Accelerating defocus blur magnification

• Online allocation of display ads with smooth delivery

• Language Model Verbalization for Automatic Speech Recognition

• MOOCs: So Many Learners, So Much Potential

• Ubiquitous search for smart workspaces

• Survey of local algorithms