alibaba / alibaba/euler

reddit 数据上,graphsage,scalable的模型速度问题

Open
#226 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
C++
Stars
2.9k
Forks
553
PR merge metrics
No merged PRs in 30d

Description

在wiki中看到,Reddit数据上,2层卷积,Graphsage的速度为0.12s/mini-batch, Scalable_gcn的速度为0.026s/mini-batch. 我自己用reddit数据在本地测试了一下,同样512大小的batch-size,graphsage的速度是0.37s/mini-batch, scalable_gcn的速度为0.34s/mini-batch. 差距比较大,想问一下在测速的时候还有什么其他设定吗?

Contributor guide

No contributing guide indexed for this repository

Research direction

The issue names no source file or test. Start by locating the Reddit benchmark and the GraphSAGE and Scalable_GCN timing setup, then compare the documented and local settings, including the 512 batch size. Done means identifying the setting differences or reproducing the reported timing gap.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp
Domain
machine-learning, performance
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.