Comments (2)
Hi @czstudio,
Hope you are doing well. These figures are draw only in synthetic datasets with causal subgraph ground truths (nodes in your examples). The overall visualization strategy is using the color of nodes to represent the causal and non-causal ground truth and using edges (different colors or bold) to illustrate the actual results.
Specifically, you can use the package networks
to draw the figure. You may find this code in LECI useful.
I hope this is the answer you need. Please ask me if you have any questions.
Best,
Shurui
from good.
Thank you for your prompt reply. I discovered this code. Can you provide me with a complete example to show that a causal graph is obtained after training with an OOD algorithm such as LECI or GSAT, and the plot_graph function is used to show it?
from good.
Related Issues (20)
- Dependencies conflicts during package installation HOT 4
- ERROR: Cannot install graph-ood and graph-ood==1.1.1 because these package versions have conflicting dependencies. HOT 3
- run CIGA algorithm error HOT 5
- run final_configs yaml got error HOT 10
- Question of the DIR performance discrepancy between the paper table 13 and leaderboard HOT 10
- Leaderboard results of GOODTwitter HOT 6
- Questions about the GOOD-motif dataset HOT 1
- run CIGA on GOODPCBA dataset got error HOT 2
- Questions about the GOOD-motif dataset HOT 1
- 报错OSError: /home/.local/lib/python3.8/site-packages/torch_sparse/_convert_cuda.so: undefined symbol: _ZN6caffe28TypeMeta21_typeMetaDataInstanceIdEEPKNS_6detail12TypeMetaDataEv HOT 6
- LBAPcore-Configs HOT 2
- 请问有计划加入GALA,GIL等最新的graph ood方法吗 HOT 4
- Question about applying split method on new datasets HOT 2
- Question about dataset
- How to fix random seeds? HOT 2
- Hi, about environmental partitioning of the dataset HOT 5
- About more metrics HOT 2
- Hello, I encounter some problems when I use your code. .ERROR: 05/06/2024 07:51:52 PM - utils.py - line 87 : 。It seems that there is a problem with the connection. Is it because it's trying to download the dataset by accessing a certain website? I look forward to your reply. Thank you.Traceback (most recent call last): File "/home/lenovo/anaconda3/envs/JX/lib/python3.9/site-packages/urllib3/connection.py", line 198, in _new_conn sock = connection.create_connection( File "/home/lenovo/anaconda3/envs/JX/lib/python3.9/site-packages/urllib3/util/connection.py", line 85, in create_connection raise err File "/home/lenovo/anaconda3/envs/JX/lib/python3.9/site-packages/urllib3/util/connection.py", line 73, in create_connection sock.connect(sa) OSError: [Errno 101] Network is unreachable。 HOT 1
- hello HOT 6
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 good.