pyg-team/pytorch_geometric

Support `AttentionalAggregation` for `HeteroConv`

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#7,414 opened on May 23, 2023

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1 - Priority P1featurehelp wanted

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Description

🚀 The feature, motivation and pitch

use pyg == 2.3.0

conv = HeteroConv({
    edge_type: GraphConv(-1, second_channels) for edge_type in metadata[1]
}, aggr='attentional')

In pyg 2.3.0, can not use aggr.AttentionalAggregation to aggregation node feature from different edge type in above code, right ? (may i thought is wrong...), so can you give me some advice on how to integrate node features from different edges in pyg ?

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Contributor guide

Research direction
Investigate the HeteroConv class and its aggregation mechanism. Identify where aggregation methods are selected and add support for AttentionalAggregation.
Tech stack
pythonpytorch
Domain
machine learningai
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.
1-2 days
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