pyg-team/pytorch_geometric

Pytorch implementation of DCRNN

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#112 opened on Mar 8, 2019

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2 - Priority P2featurehelp wantednn

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Description

Sequential graph neural networks for a directed graph sequence [ICLR 2018]

https://arxiv.org/abs/1707.01926

Tensorflow code here https://github.com/liyaguang/DCRNN Would be great to have a Pytorch version!

Contributor guide

Research direction
Study the DCRNN paper and TensorFlow implementation, then implement it using PyTorch Geometric's message passing API.
Tech stack
pythonpytorch
Domain
machine learning
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonPyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50