REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories

no code implementations • 26 Feb 2024 • Bangchao Deng, Bingqing Qu, Pengyang Wang, Dingqi Yang

Location prediction forecasts a user's location based on historical user mobility traces.

Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation

no code implementations • 25 Dec 2023 • Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang

In the realm of human mobility, the decision-making process for selecting the next-visit location is intricately influenced by a trade-off between spatial and temporal constraints, which are reflective of individual needs and preferences.

Decision Making Hierarchical Reinforcement Learning +1

NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching

2 code implementations • ‏‏‎ ‎ 2020 • Dingqi Yang, Paolo Rosso, Bin Li, Philippe Cudre-Mauroux

Embeddings have become a key paradigm to learn graph represen-tations and facilitate downstream graph analysis tasks.

Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection

1 code implementation • 17 Dec 2019 • Artem Lutov, Dingqi Yang, Philippe Cudré-Mauroux

Graph embedding has become a key component of many data mining and analysis systems.

Community Detection Graph Embedding +4