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Alimama Tech
Alimama Tech
Nov 22, 2023 · Artificial Intelligence

Robust Link Prediction under Bilateral Edge Noise via Robust Graph Information Bottleneck (RGIB)

The paper introduces Robust Graph Information Bottleneck (RGIB), a framework that jointly mitigates bilateral edge noise in link prediction by decoupling topology, label, and representation information, with two variants (RGIB‑SSL and RGIB‑REP) that achieve up to 12.9% AUC gains on benchmarks and have already boosted click‑through‑rate robustness and revenue in Alibaba’s advertising system.

Graph Neural NetworksRGIBbilateral noise
0 likes · 13 min read
Robust Link Prediction under Bilateral Edge Noise via Robust Graph Information Bottleneck (RGIB)
DataFunTalk
DataFunTalk
May 8, 2022 · Artificial Intelligence

Automated Knowledge Graph Representation Learning: From Triples to Subgraphs

This talk introduces the background, key directions, and model designs for automated knowledge‑graph representation learning, covering triple‑based, path‑based, and subgraph‑based approaches, the role of AutoML in searching optimal bilinear scoring functions, and future research challenges such as scalability, inductive inference, and domain‑specific applications.

AutoMLGraph Neural NetworksKnowledge Graph
0 likes · 20 min read
Automated Knowledge Graph Representation Learning: From Triples to Subgraphs