Zihao Chen

Memory-Enhanced Transformer for Representation Learning on Temporal Heterogeneous Graphs

2023 · Data Science and Engineering

Abstract Temporal heterogeneous graphs can model lots of complex systems in the real world, such as social networks and e-commerce applications, which are naturally time-varying and heterogeneous. As most existing graph representation learning methods cannot …

Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models

2025

Multi-layer Perceptron (MLP)-based models have been widely exploited by modern recommendation applications. In practice, industrial recommendation scenarios frequently launch continuous incremental training jobs with only one epoch to capture real-time user features. This kind of …