activity
20192026
most citedProduct Knowledge Graph Embedding for E-commerce

72 citations · 162 across the 13 of their papers we have counts for

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Showing cs.LGShow all

5 papers · 1 filter

cs.LG2025

S2SRec2: Set-to-Set Recommendation for Basket Completion with Recipe

Yanan Cao, Omid Memarrast, Shiqin Cai +3

In grocery e-commerce, customers often build ingredient baskets guided by dietary preferences but lack the expertise to create complete meals. Leveraging recipe knowledge to recomm…

cs.LG202032 cited

Inductive Representation Learning on Temporal Graphs

Da Xu, Chuanwei Ruan, Evren Korpeoglu +2

Inductive representation learning on temporal graphs is an important step toward salable machine learning on real-world dynamic networks. The evolving nature of temporal dynamic gr…

cs.LG201935 cited

Self-attention with Functional Time Representation Learning

Da Xu, Chuanwei Ruan, Sushant Kumar +2

Sequential modelling with self-attention has achieved cutting edge performances in natural language processing. With advantages in model flexibility, computation complexity and int…

cs.LG201972 cited

Product Knowledge Graph Embedding for E-commerce

Da Xu, Chuanwei Ruan, Evren Korpeoglu +2

In this paper, we propose a new product knowledge graph (PKG) embedding approach for learning the intrinsic product relations as product knowledge for e-commerce. We define the key…

cs.LG201911 cited

Generative Graph Convolutional Network for Growing Graphs

Da Xu, Chuanwei Ruan, Kamiya Motwani +3

Modeling generative process of growing graphs has wide applications in social networks and recommendation systems, where cold start problem leads to new nodes isolated from existin…