dmlc/dgl

[Model Request] Graph2vec embedding to learn graph embedding

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#4,207 opened on Jul 3, 2022

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feature requesthelp wanted

Description

graph2vec: Learning Distributed Representations of Graphs

Is there a implementation of graph2vec for graph embedding learning?

Contributor guide

Tech stack
python
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.
4
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.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
graph neural networksPythondeep learning basics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
20
Research direction
Review the paper 'graph2vec: Learning Distributed Representations of Graphs' and implement the algorithm in DGL. Check if any existing implementations or discussions exist in the repository or community. The implementation should follow DGL's conventions for graph models and include necessary documentation and tests.