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09/03/2023
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects
Instant delivery services, such as food delivery and package delivery, h...
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07/07/2023
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery
Street-view imagery provides us with novel experiences to explore differ...
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06/19/2023
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
Real-world last-mile delivery datasets are crucial for research in logis...
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06/14/2023
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
Traffic forecasting plays a critical role in smart city initiatives and ...
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05/30/2023
Graph Neural Processes for Spatio-Temporal Extrapolation
We study the task of spatio-temporal extrapolation that generates data a...
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05/22/2023
EntRED: Benchmarking Relation Extraction with Fewer Shortcuts
Entity names play an effective role in relation extraction (RE) and ofte...
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03/25/2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
With the development of sophisticated sensors and large database technol...
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01/31/2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
Spatio-temporal graph neural networks (STGNN) have emerged as the domina...
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01/30/2023
Do We Really Need Graph Neural Networks for Traffic Forecasting?
Spatio-temporal graph neural networks (STGNN) have become the most popul...
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11/29/2022
AirFormer: Predicting Nationwide Air Quality in China with Transformers
Air pollution is a crucial issue affecting human health and livelihoods,...
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10/11/2022
Contrastive Trajectory Similarity Learning with Dual-Feature Attention
Trajectory similarity measures act as query predicates in trajectory dat...
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07/12/2022
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
Learning dynamic user preference has become an increasingly important co...
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07/04/2022
VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM
Event cameras have recently gained in popularity as they hold strong pot...
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05/08/2022
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction
Entity types and textual context are essential properties for sentence-l...
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05/08/2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
Recent literature focuses on utilizing the entity information in the sen...
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12/18/2021
Time-Aware Neighbor Sampling for Temporal Graph Networks
We present a new neighbor sampling method on temporal graphs. In a tempo...
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12/09/2021
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition
While transformers have shown great potential on video recognition tasks...
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12/08/2021
PRNet: A Periodic Residual Learning Network for Crowd Flow Forecasting
Crowd flow forecasting, e.g., predicting the crowds entering or leaving ...
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12/01/2021
Structure-Aware Label Smoothing for Graph Neural Networks
Representing a label distribution as a one-hot vector is a common practi...
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11/16/2021
Phase function estimation from a diffuse optical image via deep learning
The phase function is a key element of a light propagation model for Mon...
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09/16/2021
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference
Sensors are the key to sensing the environment and imparting benefits to...
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08/26/2021
Spatio-Temporal Graph Contrastive Learning
Deep learning models are modern tools for spatio-temporal graph (STG) fo...
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09/22/2020
GraphCrop: Subgraph Cropping for Graph Classification
We present a new method to regularize graph neural networks (GNNs) for b...
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04/29/2020
Directed Graph Convolutional Network
Graph Convolutional Networks (GCNs) have been widely used due to their o...
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02/28/2020
Revisiting Convolutional Neural Networks for Urban Flow Analytics
Convolutional Neural Networks (CNNs) have been widely adopted in raster-...
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02/05/2020
Fine-Grained Urban Flow Inference
The ubiquitous deployment of monitoring devices in urban flow monitoring...
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02/06/2019
UrbanFM: Inferring Fine-Grained Urban Flows
Urban flow monitoring systems play important roles in smart city efforts...
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09/28/2018
