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20192026
most citedGraph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation

43 citations · 181 across the 27 of their papers we have counts for

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5 papers · 1 filter

cs.SI2024

USE: Dynamic User Modeling with Stateful Sequence Models

Zhihan Zhou, Qixiang Fang, Leonardo Neves +5

User embeddings play a crucial role in user engagement forecasting and personalized services. Recent advances in sequence modeling have sparked interest in learning user embeddings…

cs.SI2023★ 2 cited

Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study

Agrima Seth, Jiyin Cao, Xiaolin Shi +3

Culture shapes people's behavior, both online and offline. Surprisingly, there is sparse research on how cultural context affects network formation and content consumption on socia…

cs.SI2022★ 9 cited

Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers

Julie Jiang, Ron Dotsch, Mireia Triguero Roura +4

Pictorial emojis and stickers are commonly used in online social networking to facilitate and aid communications. We delve into the use of Bitmoji stickers, a highly expressive for…

cs.SI2022★ 1 cited

Flashlight: Scalable Link Prediction with Effective Decoders

Yiwei Wang, Bryan Hooi, Yozen Liu +3

Link prediction (LP) has been recognized as an important task in graph learning with its broad practical applications. A typical application of LP is to retrieve the top scoring ne…

cs.SI2020★ 32 cited

Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps

Xianfeng Tang, Yozen Liu, Neil Shah +3

With the rapid growth and prevalence of social network applications (Apps) in recent years, understanding user engagement has become increasingly important, to provide useful insig…