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08/20/2023
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation
Transformer and its variants are a powerful class of architectures for s...
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08/20/2023
Adversarial Collaborative Filtering for Free
Collaborative Filtering (CF) has been successfully used to help users di...
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07/18/2023
Sharpness-Aware Graph Collaborative Filtering
Graph Neural Networks (GNNs) have achieved impressive performance in col...
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12/08/2022
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems
There has been an explosion of interest in designing various Knowledge G...
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12/08/2022
Denoising Self-attentive Sequential Recommendation
Transformer-based sequential recommenders are very powerful for capturin...
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06/07/2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage
Graph Neural Networks (GNNs) have shown great power in learning node rep...
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01/13/2022
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection
Today's cyber-world is vastly multivariate. Metrics collected at extreme...
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12/24/2021