Aug 16, 2019 · Artificial Intelligence

How IntentGC Scales Graph Convolution for Billion‑Node Recommendation Systems

IntentGC, a KDD 2019 paper, introduces a scalable graph convolution framework that fuses explicit user‑item interactions with rich heterogeneous signals to tackle link‑prediction on billion‑node e‑commerce graphs, offering efficient training, dual‑convolution design, and superior performance over existing baselines.

IntentGCRecommendation Systemsgraph convolution

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How IntentGC Scales Graph Convolution for Billion‑Node Recommendation Systems