jbcdnr / gretel-path-extrapolation Goto Github PK
View Code? Open in Web Editor NEWImplementation for the paper "Extrapolating paths with graph neural networks"
Home Page: https://arxiv.org/abs/1903.07518
License: Apache License 2.0
Implementation for the paper "Extrapolating paths with graph neural networks"
Home Page: https://arxiv.org/abs/1903.07518
License: Apache License 2.0
I read your paper and I'm impressed about your work.
I'm trying to run the source you share but getting some errors:
RuntimeError: Unknown keyword argument 'fill_value' for operator 'scatter_max'. Schema: scatter_max(Tensor src, Tensor index, int dim=-1, Tensor? out=None, int? dim_size=None) -> ((Tensor, Tensor))
scatter_max function has no argument fill_value but some of your source codes (exp. graph.py line 328 or metrics.py line 196 and 207) uses this argument.
if I remove the fill_value argument then another error occurs:
possible_targets_mask = right_distance_mask & given_as_target.unsqueeze(0)
RuntimeError: result type Byte can't be cast to the desired output type Bool
Is there particular reason to use those or am i missing something.
Thanks.
I am trying to understand how data files in gps folder are produced but I could not figure it out. There are files like "lengths.txt", "observations.txt" and "paths.txt" that are produced in the function write_to_directory
. However, the class variables self._lengths
, self._indices
, self._weights
, and self._traversed_edges
are needed which I do not see how we can compute them. In addition, I have tried to open hmm_edges.pickle
but the error module '__main__' has no attribute 'Leg'
is returned. Could you please provide some guidelines or code examples on how the files in the /workspace/gps
folder are produced?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.