leibai / agcrn Goto Github PK
View Code? Open in Web Editor NEWAdaptive Graph Convolutional Recurrent Network
License: MIT License
Adaptive Graph Convolutional Recurrent Network
License: MIT License
Hello,
Congrats for your good work, I added it to my repo, here:
https://github.com/Alro10/deep-learning-time-series
Regards,
KeyError: 'data' in run.py
We integrated the model in PyTorch Geometric Temporal.
https://github.com/benedekrozemberczki/pytorch_geometric_temporal
Hi, I just want to know why the normalization process should be done before the data split procedure. It seems to already use information from the test data
Hi,
how to know the connection relationship of nodes from this model? or we can't get it ?
I will appreciate your reply so! thanks a lot
what does the cheb_k mean?Thank you!
In AVWGCN.init there are those lines:
self.weights_pool = nn.Parameter(torch.FloatTensor(embed_dim, cheb_k, dim_in, dim_out))
self.bias_pool = nn.Parameter(torch.FloatTensor(embed_dim, dim_out))
Like this, the FloatTensor constructor does not initialize the values in the tensor, so it's just some garbage. It might lead to nan values and break the whole training. It should be initialized with some values, zeros / ones / rand... anything.
I read the code carefully and wanted to run it on other datasets. But I didn't find any code for adjacency matrix. Could you indicate where the adjacency matrix data is introduced in this code? Thanks!
Hi,
I found that in BasicTrainer.py, the scale of the model's outputs and labels isn't consistent when setting args.real_value=True. You may need to inverse transform the model's outputs to make it right.
2020-07-28 11:43: Experiment log path in: C:\Users\cyx\Desktop\Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting\ts12_AGCRN-master\AGCRN-master\model\experiments\PEMSD4\20200728114350
Traceback (most recent call last):
so where is the log file?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.