What is recorded here?
Combined visit-count-weighted neighborhood sampling, shared local graph convolutions, CPU–GPU minibatch production and distributed embedding inference to train and serve recommendation embeddings on a large pin–board graph.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Builds on GraphSAGE and prior graph convolutions rather than inventing graph neural learning. Sampled neighborhoods trade coverage for bounded work; performance and engagement lifts are source-reported for selected Pinterest tasks, not a guarantee for arbitrary graphs or an independently replayed deployment.
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People and systems
Rex Ying; Ruining He; Kaifeng Chen; Pong Eksombatchai; William L. Hamilton; Jure Leskovec
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
PinSage: random-walk sampled graph convolutions at recommendation scale
Combined visit-count-weighted neighborhood sampling, shared local graph convolutions, CPU–GPU minibatch production and distributed embedding inference to train and serve recommendation embeddings on a large pin–board graph.
Scientific scope
Builds on GraphSAGE and prior graph convolutions rather than inventing graph neural learning. Sampled neighborhoods trade coverage for bounded work; performance and engagement lifts are source-reported for selected Pinterest tasks, not a guarantee for arbitrary graphs or an independently replayed deployment.
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
Rex Ying; Ruining He; Kaifeng Chen; Pong Eksombatchai; William L. Hamilton; Jure Leskovec
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.