Teaching old labels new tricks in heterogeneous graphs
GraphWorld: Advances in Graph Benchmarking
Massively Parallel Graph Computation: From Theory to Practice
Understanding the Shape of Large-Scale Data
Innovations in Graph Representation Learning
Balanced Partitioning and Hierarchical Clustering at Scale
A Summary of the Google Zürich Algorithms & Optimization Workshop
Google at KDD’17: Graph Mining and Beyond
Announcing the NYC Algorithms and Optimization Site
Research from VLDB 2016: Improved Friend Suggestion using Ego-Net Analysis
KDD 2015 Best Research Paper Award: “Algorithms for Public-Private Social Networks”
