activity
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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Showing 2023Show all

5 papers · 1 filter

cs.LG2023★ 2 cited

Graph Transformers for Large Graphs

Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu +3

Transformers have recently emerged as powerful neural networks for graph learning, showcasing state-of-the-art performance on several graph property prediction tasks. However, thes…

cs.HC2023★ 2 cited

General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study

Qixiang Fang, Zhihan Zhou, Francesco Barbieri +6

Learning general-purpose user representations based on user behavioral logs is an increasingly popular user modeling approach. It benefits from easily available, privacy-friendly y…

cs.LG2023★ 3 cited

Context-Aware Prediction of User Engagement on Online Social Platforms

Heinrich Peters, Yozen Liu, Francesco Barbieri +3

The success of online social platforms hinges on their ability to predict and understand user behavior at scale. Here, we present data suggesting that context-aware modeling approa…

cs.LG2023★ 8 cited

CARL-G: Clustering-Accelerated Representation Learning on Graphs

William Shiao, Uday Singh Saini, Yozen Liu +3

Self-supervised learning on graphs has made large strides in achieving great performance in various downstream tasks. However, many state-of-the-art methods suffer from a number of…

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…