news

Apr 28, 2026 Three papers accepted at ACL 2026 in San Diego on training-free LLM embeddings, sparse attention, and collaborative memory for agentic recommendation.
Apr 27, 2026 Two papers accepted at SIGIR 2026 in Melbourne! New work on multimodal generative retrieval with vision-language semantic IDs, and an industry paper on deploying semantic IDs for recommendation at Snapchat.
Feb 28, 2026 Sharing a new preprint on the use of plain transformers as scalable and powerful link predictors on graphs.
Dec 28, 2025 Sharing a new preprint on hierarchical token prepending, a new training-free method for getting strong LLM embeddings for retrieval.
Nov 28, 2025 Sharing a new preprint on model-scaling behavior in generative recommendation methods, which shows scaling limitations in existing semantic ID-based methods.
Oct 28, 2025 Excited to share two new works at CIKM 2025 on generative recommendation, covering the newest open-source reproducibility tooling (GRID) and meta-item embeddings for cold-start learning.
Oct 27, 2025 Excited to share our new work at LoG 2025 on GNN distillation to MLPs, which shows that stronger models aren’t always stronger teachers.
May 28, 2025 We have several works at KDD 2025 on graph neural networks (GiGL, our library to scale GNNs at Snap, and a corresponding tutorial), and recommendation systems (improved self-attention for cross-domain recommendation, and optimization in collaborative filtering)!
May 27, 2025 Excited to share we have two works accepted at ICML 2025 on rethinking historical embeddings in GNN scaling and hyperbolic geometry for backwards-compatible learning.
Apr 28, 2025 Excited to share our work on learning cross-domain user representations at Snapchat was accepted to SIGIR 2025 – see you in Padua!
Mar 28, 2025 Excited to share our workshop proposal on GenAI for Recommender Systems and Personalization was accepted to KDD 2025 – see you in Toronto!
Mar 27, 2025 Sharing an exciting new preprint talking about our efforts to productionize and apply large-scale GNNs at Snap.
Feb 28, 2025 Our work introducing the first multimodal graph learning benchmark was accepted to CVPR 2025 – see you in Nashville!
Jan 28, 2025 Our works on graph-clustering for parameter compression and interpreting collaborative filtering through matrix rank were accepted to WWW 2025 – see you in Sydney!
Sep 28, 2024 Our work on test-time message passing for collaborative filtering was accepted to NeurIPS 2024 – see you in Vancouver!
Aug 28, 2024 Check our some interesting preprints on neural scaling laws with graph models and the first multimodal graph benchmark!
Jul 28, 2024 Check out a preprint of NodeDup, a super simple approach for drastically improving graph link prediction performance with data augmentation!
May 28, 2024 Our work on language models for content moderation was accepted to ACL 2024 – see you in Bangkok!
Apr 28, 2024 We have multiple papers at ICML 2024 on exploring graph foundation models and adapting language models for graph tasks – see you in Vienna!
Mar 28, 2024 We’ll present an iteration of our popular large-scale graph neural networks tutorial at SDM 2024 – see you in Houston!
Feb 28, 2024 Excited to give a tutorial at AAAI 2024 on large-scale graph neural networks – see you in Vancouver!
Feb 27, 2024 We will present multiple works at ICLR 2024 on graph neural networks, specifically around demystifying link prediction performance and conceptualizing graph learning without explicit graph models – see you in Vienna!
Oct 28, 2023 We have multiple papers at NeurIPS 2023, on cold-start graph learning, evaluation pitfalls in link prediction and graph structural disparity – see you in New Orleans!
Aug 28, 2023 Excited to be deeply involved at KDD 2023, participating in panels, workshops, tutorials and paper presentations; come say hello in Long Beach!
Aug 27, 2023 Honored that our work Graph Data Augmentation for Graph Machine Learning: A Survey was featured in the IEEE Data Engineering Bulletin edition on Graph Neural Networks.
Jul 28, 2023 It’s a busy week for our team at Snap! Several of us will be at SIGIR 2023, presenting our work on Embedding-based Retrieval in Friend Recommendation, and several others will be at ICML 2023, presenting our work on Linkless Link Prediction via Relational Distillation.
Jun 28, 2023 We have several papers at KDD 2023, on graph anomaly detection, clustering-based graph self-supervised-learning, and scaling up graph neural networks – see you in Long Beach!
May 28, 2023 Our paper Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? was accepted to ACL 2023 – see you in Toronto!
May 27, 2023 Our paper Linkless Link Prediction via Relational Distillation was accepted to ICML 2023 – see you in Honolulu!
Apr 28, 2023 Our tutorial Large-Scale Graph Neural Networks: The Past and New Frontiers was accepted to KDD 2023 – see you in Long Beach!
Mar 28, 2023 Our paper Embedding-based Retrieval in Friend Recommendation was accepted to SIRIP 2023 – see you in Taipei!
Feb 28, 2023 Our tutorial Augmentation Methods for Graph Learning was accepted to SDM 2023 – see you in Minneapolis!
Jan 28, 2023 Our paper MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization was accepted to ICLR 2023 – see you in Kigali!
Jan 27, 2023 Our paper Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization was accepted to ICLR 2023 – see you in Kigali!
Jan 26, 2023 Our paper Link Prediction with Non-Contrastive Learning was accepted to ICLR 2023 – see you in Kigali!
Jan 25, 2023 Our paper Empowering Graph Representation Learning with Test-Time Graph Transformation was accepted to ICLR 2023 – see you in Kigali!
Nov 28, 2022 Our paper Flashlight: Scalable Link Prediction with Effective Decoders was accepted to LoG 2023 – see you over Zoom!
Nov 27, 2022 Our paper Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference was accepted to WSDM 2023 – see you in Singapore!
Oct 28, 2022 Excited to serve as a panelist at the Stanford Graph Learning Workshop 2022 – see you in Stanford, CA!
Sep 28, 2022 Our paper Explaining Graph Neural Networks with Structure-Aware Cooperative Games was accepted to NeurIPS 2022 – see you in New Orleans!
Sep 27, 2022 Our paper A Practical, Progressively Expressive Graph Neural Network was accepted to NeurIPS 2022 – see you in New Orleans!
Aug 28, 2022 Our paper Imbalanced Graph Classification via Graph-of-Graph Neural Networks was accepted to CIKM 2022 – see you in Atlanta!
Aug 27, 2022 Honored to give a keynote and serve on a panel at the KDD 2022 Deep Learning on Graphs (DLG) Workshop!
Aug 26, 2022 Excited to co-organize the KDD 2022 Mining and Learning with Graphs (MLG) Workshop!
Jul 28, 2022 Our paper Predicting Future Location Categories of Users in a Large Social Platform was accepted to ICWSM 2023 – see you in Cyprus!
May 28, 2022 Excited to moderate a panel at the TigerGraph AI Summit on graph deep learning libraries!
May 27, 2022 Honored to serve as an invited speaker and panelist at the Knowledge Graph Conference 2022, where I’ll talk about advances in industrial-scale graph ML!
Apr 28, 2022 Looking forward to giving an invited talk at the UC Riverside CSE Colloqium on our work about Scaling Up Graph Neural Networks at Snap!
Mar 28, 2022 Honored to receive the Outstanding Service Award at WSDM 2022!
Feb 28, 2022 Excited to organize WSDM Cup 2022 on Feb 25th, and see theory meet practice across tasks like user retention prediction, temporal link prediction and cross-market recommendation!
Feb 27, 2022 Excited to give a keynote at the WSDM Machine Learning on Graphs (MLoG) Workshop and talk about some of our recent advances in scaling up graph neural network training and inference at Snap!
Jan 28, 2022 Our paper Sunshine with a Chance of Smiles: How does Weather Impact Sentiment on Social Media? was accepted to ICWSM 2022 – see you over Zoom!
Jan 27, 2022 Our paper Graph-less Neural Networks: Teaching Old MLPs new Tricks via Distillation was accepted to ICLR 2022 – see you over Zoom!
Jan 26, 2022 Our paper Graph Condensation for Graph Neural Networks was accepted to ICLR 2022 – see you over Zoom!
Jan 25, 2022 Our paper From Stars to Subgraphs: Uplifting any GNN with Local Structure Awareness was accepted to ICLR 2022 – see you over Zoom!
Jan 24, 2022 Our paper Is Homophily a Necessity for Graph Neural Networks? was accepted to ICLR 2022 – see you over Zoom!
Jan 23, 2022 Our paper Automated Self-Supervised Learning for Graphs was accepted to ICLR 2022 – see you over Zoom!
Oct 28, 2021 Excited to talk about some of our recent advances in scarce-label graph learning at the IIIT Delhi Laboratory for Computational Social Systems Seminar Series as an invited speaker.
Oct 27, 2021 Our paper Ranking Friend Stories on Social Platforms with Edge-Contextual Local Graph Convolutions was accepted to WSDM 2022 – see you in Phoenix!
Oct 26, 2021 Our paper Attributed Graph Modeling with Vertex Replacement Grammars was accepted to WSDM 2022 – see you in Phoenix!
Oct 25, 2021 Our paper Finding a Concise, Precise and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs was accepted to WSDM 2022 – see you in Phoenix!
Aug 28, 2021 Our paper Action Sequence Augmentation for Early Graph-based Anomaly Detection was accepted to CIKM 2021 – see you over Zoom!
Aug 27, 2021 Our paper A Unified View on Graph Neural Networks as Graph Signal Denoising was accepted to CIKM 2021 – see you over Zoom!
Aug 26, 2021 Our paper Niche Detection in User Content Consumption Data was accepted to CIKM 2021 – see you over Zoom!
Aug 25, 2021 Our paper A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning was accepted to TNNLS 2021!
Jun 28, 2021 I will be co-organizing WSDM Cup at WSDM 2022 – the call for task proposals is out; looking forward to your amazing submissions!
Apr 28, 2021 Our paper FairOD: Fairness-aware Outlier Detection was accepted to AIES 2021 – see you over Zoom!
Mar 28, 2021 I will be co-organizing the Misinformation and Misbehavior (MIS2) workshop at KDD 2021 this year – see you over Zoom!
Mar 27, 2021 I will be a keynote speaker at the ML in Finance (MLF) workshop at KDD 2021 this year – see you over Zoom!
Mar 26, 2021 Our paper Online Communication Shifts in the Midst of the Covid-19 Pandemic: A Case Study on Snapchat was accepted to ICWSM 2021 – see you (hopefully) in Atlanta, GA!
Mar 25, 2021 Our paper CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms was accepted to ICWSM 2021 – see you (hopefully) in Atlanta, GA!
Dec 28, 2020 Our paper AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media was accepted to CHI 2021 – see you over Zoom!
Dec 27, 2020 Our exciting new work FairOD: Fairness-aware Outlier Detection is now available as a preprint!
Dec 26, 2020 Our paper Data Augmentation for Graph Neural Networks was accepted to AAAI 2021 – see you over Zoom!
Oct 28, 2020 Our exciting new work A Unified View on Graph Neural Networks as Graph Signal Denoising is now available as as preprint!
Sep 28, 2020 Our paper The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks was accepted to COLING 2020 – see you over Zoom!
Jul 28, 2020 Our paper Social Factors in Closed-Network Content Consumption was accepted to CIKM 2020 – see you over Zoom!
Jul 27, 2020 Our paper Identifying Misinformation from Website Screenshots was accepted to ICWSM 2021 – see you (hopefully) in Venice!
Jul 26, 2020 Our paper Scale-Free, Attributed and Class-Assortative Graph Generation to Facilitate Introspection of Graph Neural Networks was accepted to KDD MLG 2020 – see you over Zoom!
Jun 28, 2020 Our exciting new work Data Augmentation for Graph Neural Networks is now available as a preprint!
Jun 27, 2020 Our paper Semi-Supervised Multi-aspect Misinformation Detection with Hierarchical Joint Decomposition was accepted to ECML-PKDD 2020 – see you over Zoom!
May 28, 2020 Our paper Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps was accepted to KDD 2020 – see you over Zoom!
Feb 28, 2020 I will be chairing the CyberSafety workshop at TheWebConf 2020 – see you over Zoom!
Oct 28, 2019 I will be a keynote speaker and panelist at the Doctoral Consortium at ICDM 2019 – see you in Beijing!
Jul 28, 2019 I will be giving a keynote talk on Outlier Detection for Mining Social Misbehavior at the Learning and Mining for Cybersecurity (LEMINCS) workshop at KDD 2019 – see you in Anchorage!
Jul 27, 2019 Our paper SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs was accepted to DSAA 2019 – see you in Washington, DC!
Jul 26, 2019 Our paper FARE: Schema-Agnostic Anomaly Detection in Social Event Logs was accepted to DSAA 2019 – see you in Washington, DC!
Jul 25, 2019 I will be chairing WSDM Cup at WSDM 2020 – see you in Houston!
Jun 28, 2019 Our paper Characterizing and Detecting Livestreaming Chatbots was accepted to ASONAM 2019 – see you in Vancouver!
Apr 28, 2019 Our paper Modeling Dwell Time Engagement on Visual Multimedia was accepted to KDD 2019 – see you in Anchorage!
Mar 28, 2019 Our CHI 2019 paper on Impact of Contextual Factors on Public Snapchat Sharing won a Best Paper Honorable Mention award!
Dec 28, 2018 Our paper Impact of Contextual Factors on Public Snapchat Sharing was accepted to CHI 2019 – see you in Glasgow!
Dec 27, 2018 Our work on false information with Vagelis Papalexakis was featured on the NVIDIA AI Podcast!
Nov 28, 2018 I will be chairing the CyberSafety workshop at WWW 2019 – see you in San Francisco!
Oct 28, 2018 I will be chairing the ASONAM 2019 Industrial Track – see you in Vancouver!
Sep 28, 2018 I will be giving a keynote talk on Lessons I learned during my PhD at the PhD Forum at ECML-PKDD 2019 – see you in Dublin!
Aug 28, 2018 Our work on false information with Vagelis Papalexakis is featured in a Digital Trends article.
Jul 28, 2018 I will be giving a keynote talk on Outlier Detection for Mining Social Misbehavior at the Outlier Detection De-constructed (ODD) workshop at KDD 2018 – see you in London!
Jun 28, 2018 Our paper Did We Get It Right? Predicting Query Performance in E-commerce Search was accepted to the eCom Workshop at SIGIR 2018!
Jun 27, 2018 Our paper Beyond Outlier Detection: LookOut for Pictorial Explanation was accepted to ECML-PKDD 2018 – see you in Dublin!
Jun 26, 2018 Our paper Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings was accepted to ASONAM 2018 – see you in Barcelona!
Apr 28, 2018 Srijan Kumar and I published a comprehensive survey on characterizing and detecting false information, False Information on Web and Social Media: A Survey. Check it out!
Mar 28, 2018 I will be giving a keynote talk on Anomaly Detection on Large Social Graphs at the CyberSafety workshop at WWW 2018 – see you in Lyon!
Jan 28, 2018 Our paper Reducing Large Graphs to Small Supergraphs: A Unified Approach will be published in SNAM 2018!
Dec 28, 2017 I have joined Snap Inc as a Research Scientist in Los Angeles, CA!
Oct 28, 2017 I successfully defended my thesis, Anomaly Detection in Large Social Graphs, from Carnegie Mellon University’s School of Computer Science, advised by Christos Faloutsos.