PGL — 2 Technical Articles

Aug 30, 2023 · Artificial Intelligence

How Spatial Heterophily Improves Urban Graph Neural Networks

Urban graphs often exhibit spatial heterophily, where neighboring nodes differ significantly, limiting traditional GNNs; this article introduces a Spatial Heterophily Aware GNN (SHGNN) that partitions neighborhoods by geographic proximity, employs rotation‑scaling aggregation and heterophily‑sensitive interaction, and demonstrates superior performance on three real city datasets.

Heterophily-AwareNode RepresentationPGL

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How Spatial Heterophily Improves Urban Graph Neural Networks

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Mar 16, 2021 · Artificial Intelligence

How NetEase Cloud Music Solved Cold‑Start with Large‑Scale Graph Neural Networks

This article explains how NetEase Cloud Music tackled cold‑start recommendation challenges in live streaming by leveraging Baidu's PGL distributed graph learning framework to train massive graph neural networks that transfer user behavior from music domains to live content, achieving significant performance gains.

AIDistributed TrainingLarge-Scale Graph

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How NetEase Cloud Music Solved Cold‑Start with Large‑Scale Graph Neural Networks