  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?
