Abstract: Label distribution learning (LDL), leveraging the label significance (LS), is more appropriate for solving label ambiguity problems than multilabel learning (MLL). However, directly ...
Abstract: In this paper, the design and application of Hermite polynomial graph filter is studied. First, the basics of graph signal processing (GSP) is briefly reviewed and the design problem of ...
Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting
Code for our SIGKDD'22 paper: "Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting". The code is developed with BasicTS, a PyTorch-based benchmark and ...
Welcome to the official repository for the ACL 2023 paper: FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing. Here, you'll find both the ...
Through a Summer Undergraduate Research Fellowship, Jenny Quan is exploring the mathematical principles behind Rubik's cubes.
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