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07/31/2023
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
The advent of large language models marks a revolutionary breakthrough i...
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03/14/2023
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors
The global trends of urbanization and increased personal mobility force ...
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11/15/2022
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation
Recent studies show that Graph Neural Networks(GNNs) are vulnerable and ...
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10/30/2022
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting
In this technical report, we present our solutions to the Traffic4cast 2...
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10/25/2022
Towards Robust Recommender Systems via Triple Cooperative Defense
Recommender systems are often susceptible to well-crafted fake profiles,...
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06/17/2022
Boosting Factorization Machines via Saliency-Guided Mixup
Factorization machines (FMs) are widely used in recommender systems due ...
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08/06/2019
