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03/05/2022
Deep Partial Multiplex Network Embedding
Network embedding is an effective technique to learn the low-dimensional...
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02/26/2021
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections
This paper explores learning rich self-supervised entity representations...
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12/21/2020
RealFormer: Transformer Likes Residual Attention
Transformer is the backbone of modern NLP models. In this paper, we prop...
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06/06/2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Recent advancements in deep neural networks for graph-structured data ha...
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07/15/2016
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation
Understanding users' interactions with highly subjective content---like ...
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04/20/2016
Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class Collaborative Filtering
Building successful recommender systems requires uncovering the underlyi...
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03/31/2016
Learning Compatibility Across Categories for Heterogeneous Item Recommendation
Identifying relationships between items is a key task of an online recom...
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02/04/2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
Building a successful recommender system depends on understanding both t...
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10/06/2015
