| Transformer-enhanced Hawkes process with decoupling training for information cascade prediction | 0 | 0.34 | 2022 |
| Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning | 0 | 0.34 | 2022 |
| Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks | 0 | 0.34 | 2022 |
| Contextual spatio-temporal graph representation learning for reinforced human mobility mining | 1 | 0.37 | 2022 |
| A Probabilistic Framework for Land Deformation Prediction (Student Abstract). | 0 | 0.34 | 2022 |
| Heterogeneous dynamical academic network for learning scientific impact propagation | 0 | 0.34 | 2022 |
| Multi-view learning with distinguishable feature fusion for rumor detection | 0 | 0.34 | 2022 |
| Dynamic Manifold Learning for Land Deformation Forecasting. | 0 | 0.34 | 2022 |
| Land Deformation Prediction Via Slope-Aware Graph Neural Networks | 0 | 0.34 | 2021 |
| Semantically Diverse Constrained Queries | 0 | 0.34 | 2021 |
| CSD-CMAD: Coupling Similarity and Diversity for Clustering Multivariate Astrophysics Data | 0 | 0.34 | 2021 |
| Toward Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models. | 0 | 0.34 | 2021 |
| HGENA: A Hyperbolic Graph Embedding Approach for Network Alignment | 0 | 0.34 | 2021 |
| Semantically Diverse Paths with Range and Origin Constraints | 0 | 0.34 | 2021 |
| A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances | 6 | 0.47 | 2021 |
| Towards Predicting Vehicular Data Consumption | 1 | 0.35 | 2021 |
| Improving Human Mobility Identification With Trajectory Augmentation | 1 | 0.35 | 2021 |
| Kernel-Based Structural-Temporal Cascade Learning for Popularity Prediction | 0 | 0.34 | 2021 |
| Forecasting the Evolution of Hydropower Generation | 2 | 0.40 | 2020 |
| Semantically Diverse Path Search | 1 | 0.35 | 2020 |
| CET-LATS - Compressing Evolution of TINs from Location Aware Time Series. | 0 | 0.34 | 2020 |
| Fast Network Alignment Via Graph Meta-Learning | 1 | 0.38 | 2020 |
| Conference report: The 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2019): Chicago, Illinois, USA, November 5--8, 2019 | 0 | 0.34 | 2020 |
| Recommendation via Collaborative Autoregressive Flows. | 1 | 0.35 | 2020 |
| DeepTrip - Adversarially Understanding Human Mobility for Trip Recommendation. | 1 | 0.35 | 2019 |
| Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2019, Chicago, IL, USA, November 5-8, 2019 | 0 | 0.34 | 2019 |
| Information Diffusion Prediction via Recurrent Cascades Convolution | 9 | 0.46 | 2019 |
| Real-Time Applications Using High Resolution 3D Objects in High Definition Maps (Systems Paper). | 2 | 0.39 | 2019 |
| Motion Based Inference of Social Circles via Self-Attention and Contextualized Embedding. | 0 | 0.34 | 2019 |
| Variational Session-based Recommendation Using Normalizing Flows | 2 | 0.37 | 2019 |
| Trajectory-based social circle inference. | 4 | 0.38 | 2018 |
| DeepLink: A Deep Learning Approach for User Identity Linkage. | 3 | 0.37 | 2018 |
| Maximizing area-range sum for spatial shapes (MAxRS3). | 0 | 0.34 | 2018 |
| Location-Awareness in Time Series Compression. | 0 | 0.34 | 2018 |
| vec2Link: Unifying Heterogeneous Data for Social Link Prediction. | 3 | 0.39 | 2018 |
| High definition maps in urban context. | 2 | 0.52 | 2018 |
| Targets and Shapes Tracking (Advanced Seminar) | 0 | 0.34 | 2018 |
| The 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017) Redondo Beach, California, USA November 7-10, 2017: conference report. | 0 | 0.34 | 2018 |
| Class-based Conditional MaxRS Query in Spatial Data Streams. | 0 | 0.34 | 2017 |
| Towards Efficient Maintenance of Continuous MaxRS Query for Trajectories. | 2 | 0.39 | 2017 |
| Identifying Human Mobility via Trajectory Embeddings. | 8 | 0.52 | 2017 |
| Probabilistic Speed Profiling for Multi-Lane Road Networks | 0 | 0.34 | 2017 |
| ACM SIGSPATIAL 2016 conference report: the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016): San Francisco Bay Area, California, USA October 31-November 36, 2016. | 0 | 0.34 | 2017 |
| Spatio-Temporal Evolution of Scientific Knowledge. | 0 | 0.34 | 2017 |
| Distributed In-Network Processing of k-MaxRS in Wireless Sensor Networks. | 1 | 0.36 | 2017 |
| Visualization of Range-Constrained Optimal Density Clustering of Trajectories. | 0 | 0.34 | 2017 |
| Privacy-preserving detection of anomalous phenomena in crowdsourced environmental sensing using fine-grained weighted voting. | 0 | 0.34 | 2017 |
| Compression of Spatio-temporal Data | 0 | 0.34 | 2016 |
| Towards fusing uncertain location data from heterogeneous sources. | 3 | 0.41 | 2016 |
| Incorporating Weather Updates for Public Transportation Users of Recommendation Systems | 0 | 0.34 | 2016 |
