Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat. - Yozen Liu; Xiaolin Shi; Lucas Pierce; Xiang Ren 001 (KDD, 2019)

Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat. - Yozen Liu; Xiaolin Shi; Lucas Pierce; Xiang Ren (CoRR, 2019)

Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. - Xianfeng Tang; Yozen Liu; Neil Shah; Xiaolin Shi; Prasenjit Mitra; Suhang Wang (KDD, 2020)

Data Augmentation for Graph Neural Networks. - Tong Zhao 003; Yozen Liu; Leonardo Neves; Oliver J. Woodford; Meng Jiang 001; Neil Shah (AAAI, 2021)

AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. - Koustuv Saha; Yozen Liu; Nicholas Vincent; Farhan Asif Chowdhury; Leonardo Neves; Neil Shah; Maarten W. Bos (CHI, 2021)

A Unified View on Graph Neural Networks as Graph Signal Denoising. - Yao Ma 001; Xiaorui Liu; Tong Zhao 003; Yozen Liu; Jiliang Tang; Neil Shah (CIKM, 2021)

CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. - Farhan Asif Chowdhury; Yozen Liu; Koustuv Saha; Nicholas Vincent; Leonardo Neves; Neil Shah; Maarten W. Bos (ICWSM, 2021)

Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. - Aravind Sankar; Yozen Liu; Jun Yu; Neil Shah (WWW, 2021)

Graph Condensation for Graph Neural Networks. - Wei Jin 009; Lingxiao Zhao; Shichang Zhang; Yozen Liu; Jiliang Tang; Neil Shah (ICLR, 2022)

Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. - Shichang Zhang; Yozen Liu; Yizhou Sun; Neil Shah (ICLR, 2022)

Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? - Julie Jiang; Nils Murrugarra-Llerena; Maarten W. Bos; Yozen Liu; Neil Shah; Leonardo Neves; Francesco Barbieri (ICWSM, 2022)

Flashlight: Scalable Link Prediction With Effective Decoders. - Yiwei Wang 001; Bryan Hooi; Yozen Liu; Tong Zhao 003; Zhichun Guo; Neil Shah (LoG, 2022)

GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games. - Shichang Zhang; Yozen Liu; Neil Shah; Yizhou Sun (NeurIPS, 2022)

Friend Story Ranking with Edge-Contextual Local Graph Convolutions. - Xianfeng Tang; Yozen Liu; Xinran He; Suhang Wang; Neil Shah (WSDM, 2022)

Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games. - Shichang Zhang; Neil Shah; Yozen Liu; Yizhou Sun (CoRR, 2022)

Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. - Julie Jiang; Ron Dotsch; Mireia Triguero Roura; Yozen Liu; Vítor Silva 003; Maarten W. Bos; Francesco Barbieri (CHI, 2023)

Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study. - Agrima Seth; Jiyin Cao; Xiaolin Shi; Ron Dotsch; Yozen Liu; Maarten W. Bos (CHI, 2023)

Empowering Graph Representation Learning with Test-Time Graph Transformation. - Wei Jin 009; Tong Zhao 003; Jiayuan Ding; Yozen Liu; Jiliang Tang; Neil Shah (ICLR, 2023)

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. - Xiaotian Han; Tong Zhao 003; Yozen Liu; Xia Hu 001; Neil Shah (ICLR, 2023)

Link Prediction with Non-Contrastive Learning. - William Shiao; Zhichun Guo; Tong Zhao 003; Evangelos E. Papalexakis; Yozen Liu; Neil Shah (ICLR, 2023)

Linkless Link Prediction via Relational Distillation. - Zhichun Guo; William Shiao; Shichang Zhang; Yozen Liu; Nitesh V. Chawla; Neil Shah; Tong Zhao 003 (ICML, 2023)

Predicting Future Location Categories of Users in a Large Social Platform. - Raiyan Abdul Baten; Yozen Liu; Heinrich Peters; Francesco Barbieri; Neil Shah; Leonardo Neves; Maarten W. Bos (ICWSM, 2023)

CARL-G: Clustering-Accelerated Representation Learning on Graphs. - William Shiao; Uday Singh Saini; Yozen Liu; Tong Zhao 003; Neil Shah; Evangelos E. Papalexakis (KDD, 2023)

SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. - Jiaxin Pei; Vítor Silva 003; Maarten W. Bos; Yozen Liu; Leonardo Neves; David Jurgens; Francesco Barbieri (SemEval@ACL, 2023)

Embedding Based Retrieval in Friend Recommendation. - Jiahui Shi; Vivek Chaurasiya; Yozen Liu; Shubham Vij; Yan Wu; Satya Kanduri; Neil Shah; Peicheng Yu; Nik Srivastava; Lei Shi; Ganesh Venkataraman; Jun Yu (SIGIR, 2023)

Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. - Yiwei Wang 001; Bryan Hooi; Yozen Liu; Neil Shah (WSDM, 2023)

Context-Aware Prediction of User Engagement on Online Social Platforms. - Heinrich Peters; Yozen Liu; Francesco Barbieri; Raiyan Abdul Baten; Sandra C. Matz; Maarten W. Bos (CoRR, 2023)

Graph Transformers for Large Graphs. - Vijay Prakash Dwivedi; Yozen Liu; Anh Tuan Luu; Xavier Bresson; Neil Shah; Tong Zhao 003 (CoRR, 2023)

Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat. - Qixiang Fang; Zhihan Zhou 001; Francesco Barbieri; Yozen Liu; Leonardo Neves; Dong Nguyen 002; Daniel L. Oberski; Maarten W. Bos; Ron Dotsch (CoRR, 2023)

Graph Data Augmentation for Graph Machine Learning: A Survey. - Tong Zhao 003; Wei Jin 009; Yozen Liu; Yingheng Wang; Gang Liu 025; Stephan Günnemann; Neil Shah; Meng Jiang 001 (IEEE Data Eng. Bull., 2023)

How Does Message Passing Improve Collaborative Filtering? - Mingxuan Ju; William Shiao; Zhichun Guo; Yanfang Ye 001; Yozen Liu; Neil Shah; Tong Zhao 003 (NeurIPS, 2024)

Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems. - Matthew Kolodner; Mingxuan Ju; Zihao Fan; Tong Zhao 003; Elham Ghazizadeh; Yan Wu; Neil Shah; Yozen Liu (RobustRecSys@RecSys, 2024)

General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. - Qixiang Fang; Zhihan Zhou 001; Francesco Barbieri; Yozen Liu; Leonardo Neves; Dong Nguyen 002; Daniel L. Oberski; Maarten W. Bos; Ron Dotsch (SIGIR, 2024)

Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion. - Pau Perng-Hwa Kung; Zihao Fan; Tong Zhao 003; Yozen Liu; Zhixin Lai; Jiahui Shi; Yan Wu; Jun Yu; Neil Shah; Ganesh Venkataraman (SIGIR, 2024)

Node Duplication Improves Cold-start Link Prediction. - Zhichun Guo; Tong Zhao 003; Yozen Liu; Kaiwen Dong; William Shiao; Neil Shah; Nitesh V. Chawla (CoRR, 2024)

USE: Dynamic User Modeling with Stateful Sequence Models. - Zhihan Zhou 001; Qixiang Fang; Leonardo Neves; Francesco Barbieri; Yozen Liu; Han Liu 001; Maarten W. Bos; Ron Dotsch (CoRR, 2024)

Improving Out-of-Vocabulary Handling in Recommendation Systems. - William Shiao; Mingxuan Ju; Zhichun Guo; Xin Chen 085; Evangelos E. Papalexakis; Tong Zhao 003; Neil Shah; Yozen Liu (CoRR, 2024)

GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. - Xinyi Wu 003; Donald Loveland; Runjin Chen; Yozen Liu; Xin Chen 085; Leonardo Neves; Ali Jadbabaie; Clark Mingxuan Ju; Neil Shah; Tong Zhao 003 (CoRR, 2024)

Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data. - Diego Gómez-Zará; Yozen Liu; Leonardo Neves; Neil Shah; Maarten W. Bos (Comput. Hum. Behav., 2024)

Improving Out-of-Vocabulary Hashing in Recommendation Systems. - William Shiao; Mingxuan Ju; Zhichun Guo; Xin Chen 085; Evangelos E. Papalexakis; Tong Zhao 003; Neil Shah; Yozen Liu (WWW (Companion Volume), 2025)

GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. - Xinyi Wu 003; Donald Loveland; Runjin Chen; Yozen Liu; Xin Chen 085; Leonardo Neves; Ali Jadbabaie; Mingxuan Ju; Neil Shah; Tong Zhao 003 (WWW, 2025)

GiGL: Large-Scale Graph Neural Networks at Snapchat. - Tong Zhao 003; Yozen Liu; Matthew Kolodner; Kyle Montemayor; Elham Ghazizadeh; Ankit Batra; Zihao Fan; Xiaobin Gao; Xuan Guo; Jiwen Ren; Serim Park; Peicheng Yu; et al. (CoRR, 2025)

Beyond Unimodal Boundaries: Generative Recommendation with Multimodal Semantics. - Jing Zhu 005; Mingxuan Ju; Yozen Liu; Danai Koutra; Neil Shah; Tong Zhao 003 (CoRR, 2025)