Construct · 1 fields · 1 citations

over-squashing: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed

A single standalone construct; nearby constructs are located against it in the Collider. Tap a field for its definition, unit, and measures.

Machine learning

graph neural networks compress information from an exponentially growing neighborhood into fixed-size vectors, blocking long-range interactions.

In machine learning, over-squashing refers to graph neural networks compress information from an exponentially growing neighborhood into fixed-size vectors, blocking long-range interactions. This meaning comes from Alon (2020) in arXiv.[1]

Unit
Recovery means
Measured by

Run it through the Collider, or take the citations with you.

See how over-squashing sits against neighbouring constructs in the Collider, or export every reference on this page in one click.

Open in Collider Export BibTeX Report this entry

Nearby constructs

information4 fields · 5 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Alon, U., & Yahav, E. (2020). On the Bottleneck of Graph Neural Networks and its Practical Implications. arXiv. https://doi.org/10.48550/arxiv.2006.05205

Cited on this page?

Confirm your construct, or correct us.

If your work is cited behind one of these entries, you know better than we do whether we captured the meaning right. Confirm it, suggest an edit, or dispute it, and your name goes on the entry as an author who has checked it, linked to your ORCID.

Claim your construct