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20152023
most citedMathematical Foundations of the GraphBLAS

187 citations · 1.2k across the 72 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

cs.SI2019★ 4 cited

Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders

Carl Yang, Jieyu Zhang, Haonan Wang +5

While node semantics have been extensively explored in social networks, little research attention has been paid to profile edge semantics, i.e., social relations. Ideal edge semant…

cs.CV2019

Place Deduplication with Embeddings

Carl Yang, Do Huy Hoang, Tomas Mikolov +1

Thanks to the advancing mobile location services, people nowadays can post about places to share visiting experience on-the-go. A large place graph not only helps users explore int…

cs.SI2019★ 6 cited

CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining

Carl Yang, Dai Teng, Siyang Liu +8

Due to the ever-increasing size of data, construction, analysis and mining of universal massive networks are becoming forbidden and meaningless. In this work, we outline a novel fr…

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★ 7 cited

I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application

Carl Yang, Xiaolin Shi, Jie Luo +1

As online platforms are striving to get more users, a critical challenge is user churn, which is especially concerning for new users. In this paper, by taking the anonymous large-s…

cs.LG2019★ 1 cited

Neural Embedding Propagation on Heterogeneous Networks

Carl Yang, Jieyu Zhang, Jiawei Han

Classification is one of the most important problems in machine learning. To address label scarcity, semi-supervised learning (SSL) has been intensively studied over the past two d…