2016年3月22日火曜日

Graph @ WWW




2014
  • Large graph mining: patterns, cascades, fraud detection, and algorithms.
  • High quality, scalable and parallel community detection for large real graphs.
  • RDF analytics: lenses over semantic graphs.
  • Reduce and aggregate: similarity ranking in multi-categorical bipartite graphs.
  • Demographics, weather and online reviews: a study of restaurant recommendations.
  • Attributed graph models: modeling network structure with correlated attributes.

2015
  • Recommendation Subgraphs for Web Discovery.
  • Efficient Densest Subgraph Computation in Evolving Graphs.
  • Compressed Indexes for String Searching in Labeled Graphs.
  • Path Sampling: A Fast and Provable Method for Estimating 4-Vertex Subgraph Counts.
  • Finding the Hierarchy of Dense Subgraphs using Nucleus Decompositions.
  • Density-friendly Graph Decomposition.
  • Random Walk TripleRush: Asynchronous Graph Querying and Sampling.
  • The K-clique Densest Subgraph Problem.
  • Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation.

2016









Core ideas around Graph computing


  • Elasticity : Elastic Graph Processing System for Streaming Graph Data 
  • Adaptability: Tuning the windows size for incremental graph computation
  • Incremental Computation 
  • High Performance

Graph @ IPDPS

2012




2013

:
Scaling Techniques for Massive Scale-Free Graphs in Distributed (External) Memory. 825-836



2014
:
Traversing Trillions of Edges in Real Time: Graph Exploration on Large-Scale Parallel Machines. 425-434


2015