Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation

1 code implementation • 2 Oct 2023 • Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima

Extracting distinct fine-grained features unique to each piece of information is difficult since temporal information often includes spatial information, as users tend to visit nearby POIs.

MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling

1 code implementation • 12 Dec 2022 • Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Toyotaro Suzumura, Shintaro Fukushima

Spatio-temporal modeling as a canonical task of multivariate time series forecasting has been a significant research topic in AI community.

Graph Learning Graph structure learning +3

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting

1 code implementation • 27 Nov 2022 • Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura

Traffic forecasting as a canonical task of multivariate time series forecasting has been a significant research topic in AI community.

Graph Learning Graph structure learning +3

A Cross-Topic Method for Supervised Relevance Classification

no code implementations • WS 2019 • Jiawei Yong

In relevance classification, we hope to judge whether some utterances expressed on a topic are relevant or not.

Classification General Classification