The Future is Big Graphs! A Community View on Graph Processing Systems

12/11/2020

∙

Graphs are by nature unifying abstractions that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users and consumers of graph instances and graph workloads understand these abstractions, future problems will require new abstractions and systems. What needs to happen in the next decade for big graph processing to continue to succeed?

READ FULL TEXT

The Future is Big Graphs! A Community View on Graph Processing Systems

Formalization of Advanced VOs semantics and VO Refinement

Abstraction in decision-makers with limited information processing capabilities

Rethinking Abstractions for Big Data: Why, Where, How, and What

Does Big Data Require Complex Systems? A Performance Comparison Between Spark and Unicage Shell Scripts

Guidelines For Pursuing and Revealing Data Abstractions

Graph schemas as abstractions for transfer learning, inference, and planning

On computable abstractions (a conceptual introduction)

The Future is Big Graphs! A Community View on Graph Processing Systems

Related Research

Formalization of Advanced VOs semantics and VO Refinement

Abstraction in decision-makers with limited information processing capabilities

Rethinking Abstractions for Big Data: Why, Where, How, and What

Does Big Data Require Complex Systems? A Performance Comparison Between Spark and Unicage Shell Scripts

Guidelines For Pursuing and Revealing Data Abstractions

Graph schemas as abstractions for transfer learning, inference, and planning

On computable abstractions (a conceptual introduction)