What is recorded here?
Extended convolution-like neural layers beyond regular grids using graph Laplacian spectral multipliers and local/hierarchical constructions.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Builds on graph harmonic analysis and earlier graph neural models, not invention of all GNNs. Spectral filters depend on the graph basis and do not automatically transfer unchanged across graphs; locality/parameter efficiency requires appropriate graph geometry and filter restrictions.
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People and systems
Joan Bruna; Wojciech Zaremba; Arthur Szlam; Yann LeCun
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Spectral graph networks: Laplacian filters and hierarchical graph layers
Extended convolution-like neural layers beyond regular grids using graph Laplacian spectral multipliers and local/hierarchical constructions.
Scientific scope
Builds on graph harmonic analysis and earlier graph neural models, not invention of all GNNs. Spectral filters depend on the graph basis and do not automatically transfer unchanged across graphs; locality/parameter efficiency requires appropriate graph geometry and filter restrictions.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Joan Bruna; Wojciech Zaremba; Arthur Szlam; Yann LeCun
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.