dmlc/dgl

About adding KGCN as an example of Recommender Systems

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#1,138 opened on Dec 24, 2019

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 (3 comments) (0 reactions) (0 assignees)Python (12,665 stars) (2,928 forks)batch import
help wanted

Description

🚀 Feature

Can kgcn be used as an example of a recommendation system? Examples of recommendation systems are few. KGCN involves neighbor sampling, which is a good example of Nodeflow. It's also not too complicated Hope to implement with Pytorch.

(www19)Knowledge Graph Convolutional Networks for Recommender Systems https://arxiv.org/abs/1904.12575 https://github.com/hwwang55/KGCN

Contributor guide

Tech stack
pythonpytorch
Domain
machine learningdocumentation
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.
clear
Prerequisites
Graph neural networksPyTorchDGL basicsRecommender systems
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
35
Research direction
Study the KGCN paper (arXiv:1904.12575) and reference implementation. Explore DGL's existing examples in the 'examples' directory, particularly those using NodeFlow for neighbor sampling. Implement a new example following the same structure, focusing on the recommendation task and ensuring integration with PyTorch. No prior work or PRs exist; the issue is open for new contribution.