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Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments
Free accessArXiv | 2020| -
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting
Free accessArXiv | 2020| -
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting
Free accessArXiv | 2022| -
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
Free accessArXiv | 2024| -
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
Free accessArXiv | 2020| -
Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion
Free accessArXiv | 2019| -
Scaling Law for Recommendation Models: Towards General-purpose User Representations
Free accessArXiv | 2021| -
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
Free accessArXiv | 2019| -
Intent-based Product Collections for E-commerce using Pretrained Language Models
Free accessArXiv | 2021|
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