Customizing Aggregations within Message Passing

Repository metrics

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19,985 stars (19,985 stars)

PR merge metrics

Avg merge 35d 1h (Avg merge 35d 1h)14 merged PRs in 30d (14 merged PRs in 30d)

Description

This issue does not include a description.

Contributor guide

Research direction

Study the existing message passing API in PyTorch Geometric, then implement a custom aggregation function by subclassing the appropriate base class and overriding the aggregate method.

Tech stack

pythonpytorch

Domain

aimachine 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.

Half day

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

Fresh

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.

40