2.3k citations · 3.1k across the 8 of their papers we have counts for
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3 papers · 1 filter
cs.SI2019
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery
Carl Yang, Mengxiong Liu, Frank He +3
Heterogeneous networks are widely used to model real-world semi-structured data. The key challenge of learning over such networks is the modeling of node similarity under both netw…
cs.SI2019★ 684 cited
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Srijan Kumar, Xikun Zhang, Jure Leskovec
Modeling sequential interactions between users and items/products is crucial in domains such as e-commerce, social networking, and education. Representation learning presents an at…
cs.SI2018★ 19 cited
Learning Dynamic Embeddings from Temporal Interactions
Srijan Kumar, Xikun Zhang, Jure Leskovec
Modeling a sequence of interactions between users and items (e.g., products, posts, or courses) is crucial in domains such as e-commerce, social networking, and education to predic…