Taming the Expressiveness and Programmability of Graph Analytical Queries

20 Apr 2020Lu QinLongbin LaiKongzhang HaoZhongxin ZhouYiwei ZhaoYuxing HanXuemin LinZhengping QianJingren Zhou

Graph database has enjoyed a boom in the last decade, and graph queries accordingly gain a lot of attentions from both the academia and industry. We focus on analytical queries in this paper... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet