Comments (2)
Hi Kexin, thanks for the question. The subgraph extraction is naturally parallelizable. I just updated the code to make it parallel. On our 20-core server, the subgraph extraction process for PPI (3850 nodes, 76584 edges) takes about 3 minutes.
Please try the new version of code. If it is still too slow for you, two possible solutions are 1) reduce the hop number h to 1; and 2) reduce the number of training examples by adding "--max-train-num 10000" for example. SEAL usually does not need very large subgraphs or a large number of training data in order to achieve good performance.
from seal.
Thanks! I will try it out and send you some feedback
from seal.
Related Issues (20)
- 关于点信息矩阵X三部分:点结构标签、点嵌入、点属性 问题 HOT 3
- 关于论文中对比实验ENS的问题 HOT 2
- System crash during subgraph extraction step HOT 2
- 是否可以拓展到有向图的比较? HOT 2
- about the row_data and .mat files HOT 1
- about subgraph extraction HOT 1
- sampling negative links HOT 2
- 关于模型预测值 HOT 2
- Training on really large graphs HOT 2
- Questions about the contents in txt and mat files. HOT 4
- Error when trying to run my own datasets HOT 6
- Scores besides acc and auc HOT 3
- Command line argument for running facebook dataset HOT 2
- __init__() got an unexpected keyword argument 'size' HOT 1
- Access the nodes and edges from the subgraph HOT 2
- About node labeling HOT 1
- Bug during trying on a large graph HOT 1
- Node with same index HOT 4
- OSError: [Winerror 193] %1 is not an effective win32 application. HOT 2
- NameError: name 'cmd_args' is not defined
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from seal.