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Found 6 papers, 2 papers with code
Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors
To address this challenge, we propose a model designed to predict a new POI outside the training data as long as its context is aligned with the user's interests.
TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model
TrajGPT integrates the spatial and temporal models in a transformer architecture through a Bayesian probability model that ensures that the gaps in a visit sequence are filled in a spatiotemporally consistent manner.
Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback
Millions of users come to online peer counseling platforms to seek support.
Fake News Detection with Heterogeneous Transformer
The heterogeneity in both news content and the relationship with other entities in social networks brings challenges to designing a model that comprehensively captures the local multi-modal semantics of entities in social networks and the global structural representation of the propagation patterns, so as to classify fake news effectively and accurately.
Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention Model
Moreover, our architecture uses Multilayer Perceptrons (MLP) with biaffine attention to predict arcs and relation labels separately, improving relation detecting accuracy by exploiting the two-sided nature of temporal relationships.
Context-Dependent Semantic Parsing for Temporal Relation Extraction
In the inference phase, SMARTER generates a temporal relation graph by executing the logical form.
