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 |
Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract). | 0 | 0.34 | 2022 |
Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract). | 0 | 0.34 | 2022 |
Land Deformation Prediction Via Slope-Aware Graph Neural Networks | 0 | 0.34 | 2021 |
Trajectory-User Linking via Graph Neural Network | 0 | 0.34 | 2021 |
HGENA: A Hyperbolic Graph Embedding Approach for Network Alignment | 0 | 0.34 | 2021 |
Self-supervised human mobility learning for next location prediction and trajectory classification | 0 | 0.34 | 2021 |
Towards Predicting Vehicular Data Consumption | 1 | 0.35 | 2021 |
Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems | 3 | 0.36 | 2021 |
Improving Human Mobility Identification With Trajectory Augmentation | 1 | 0.35 | 2021 |
Modeling Microscopic And Macroscopic Information Diffusion For Rumor Detection | 0 | 0.34 | 2021 |
Kernel-Based Structural-Temporal Cascade Learning for Popularity Prediction | 0 | 0.34 | 2021 |
Overcoming Catastrophic Forgetting In Graph Neural Networks With Experience Replay | 0 | 0.34 | 2021 |
Rumor Detection on Social Media with Event Augmentations | 3 | 0.45 | 2021 |
TRAFFIC SPEED FORECASTING VIA SPATIO-TEMPORAL ATTENTIVE GRAPH ISOMORPHISM NETWORK | 0 | 0.34 | 2021 |
Unifying Online and Offline Preference for Social Link Prediction | 0 | 0.34 | 2021 |
MetaRisk: Semi-supervised few-shot operational risk classification in banking industry | 0 | 0.34 | 2021 |
Learning meta-knowledge for few-shot image emotion recognition | 1 | 0.37 | 2021 |
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction | 1 | 0.38 | 2021 |
Uncertainty-aware network alignment | 0 | 0.34 | 2021 |
PROBABILISTIC GRAPH NEURAL NETWORKS FOR TRAFFIC SIGNAL CONTROL | 0 | 0.34 | 2021 |
Detecting Abnormal Nodes in Cluster-tree Networks via the Likelihood Ratio Test of Packet Losses | 0 | 0.34 | 2021 |
Forecasting Reservoir Inflow Via Recurrent Neural Odes | 0 | 0.34 | 2021 |
Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning | 2 | 0.38 | 2021 |
Learning To Correlate Accounts Across Online Social Networks: An Embedding-Based Approach | 0 | 0.34 | 2020 |
Adversity-based Social Circles Inference via Context-Aware Mobility. | 0 | 0.34 | 2020 |
Continual Information Cascade Learning | 0 | 0.34 | 2020 |
Meta-Learned User Preference For Topic Participation Prediction | 0 | 0.34 | 2020 |
Fast Network Alignment Via Graph Meta-Learning | 1 | 0.38 | 2020 |
Unsupervised User Identity Linkage via Graph Neural Networks. | 0 | 0.34 | 2020 |
Recommendation via Collaborative Autoregressive Flows. | 1 | 0.35 | 2020 |
Variational Information Diffusion For Probabilistic Cascades Prediction | 3 | 0.37 | 2020 |
Session-based Recommendation via Flow-based Deep Generative Networks and Bayesian Inference | 1 | 0.35 | 2020 |
Reinforced Spatio-Temporal Attentive Graph Neural Networks for Traffic Forecasting | 6 | 0.41 | 2020 |
Variational Session-based Recommendation Using Normalizing Flows | 2 | 0.37 | 2019 |
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. | 6 | 0.63 | 2019 |
Trajectory-based social circle inference. | 4 | 0.38 | 2018 |
vec2Link: Unifying Heterogeneous Data for Social Link Prediction. | 3 | 0.39 | 2018 |