MALS-Net: A Multi-Head Attention-Based LSTM Sequence-to-Sequence Network for Socio-Temporal Interaction Modelling and Trajectory Prediction

Research article (Sensors, 2023) · cited 35× · AI/ML
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MALS-Net: A Multi-Head Attention-Based LSTM Sequence-to-Sequence Network for Socio-Temporal Interaction Modelling and Trajectory Prediction

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MALS-Net: A Multi-Head Attention-Based LSTM Sequence-to-Sequence Network for Socio-Temporal Interaction Modelling and Trajectory Prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). MALS-Net: A Multi-Head Attention-Based LSTM Sequence-to-Sequence Network for Socio-Temporal Interaction Modelling and Trajectory Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/mals-net-a-multi-head-attention-based-lstm-sequence-to-sequence-network-for-socio-temporal-interaction-modelling-and-tra
MLA “MALS-Net: A Multi-Head Attention-Based LSTM Sequence-to-Sequence Network for Socio-Temporal Interaction Modelling and Trajectory Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mals-net-a-multi-head-attention-based-lstm-sequence-to-sequence-network-for-socio-temporal-interaction-modelling-and-tra.
BibTeX @misc{4ortxyz_mals-net-a-multi-head-attention-based-lstm-sequence-to-sequence-network-for-socio-temporal-interaction-modelling-and-tra_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MALS-Net: A Multi-Head Attention-Based LSTM Sequence-to-Sequence Network for Socio-Temporal Interaction Modelling and Trajectory Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/mals-net-a-multi-head-attention-based-lstm-sequence-to-sequence-network-for-socio-temporal-interaction-modelling-and-tra}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MALS-Net: A Multi-Head Attention-Based LSTM Sequence-to-Sequence Network for Socio-Temporal Interaction Modelling and Trajectory Prediction — https://4ort.xyz/entity/mals-net-a-multi-head-attention-based-lstm-sequence-to-sequence-network-for-socio-temporal-interaction-modelling-and-tra (retrieved 2026-05-24)

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