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08/31/2023
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges
Shared benchmark problems have historically been a fundamental driver of...
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08/22/2023
Mitigating Health Disparity on Biased Electronic Health Records via Deconfounder
The fairness issue of clinical data modeling, especially on Electronic H...
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07/25/2023
Mini-PointNetPlus: a local feature descriptor in deep learning model for 3d environment perception
Common deep learning models for 3D environment perception often use pill...
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07/14/2023
LEST: Large-scale LiDAR Semantic Segmentation with Transformer
Large-scale LiDAR-based point cloud semantic segmentation is a critical ...
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05/17/2023
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs
Knowledge Graphs (KGs) play a crucial role in enhancing e-commerce syste...
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04/12/2023
Towards Spatio-temporal Sea Surface Temperature Forecasting via Static and Dynamic Learnable Personalized Graph Convolution Network
Sea surface temperature (SST) is uniquely important to the Earth's atmos...
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01/10/2023
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation
Session-based Recommendation (SBR) is to predict users' next interested ...
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11/16/2022
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders
Recent studies on Next-basket Recommendation (NBR) have achieved much pr...
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10/28/2022
Mitigating Health Disparities in EHR via Deconfounder
Health disparities, or inequalities between different patient demographi...
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01/30/2022
MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds
Semantic segmentation of 3D point cloud is an essential task for autonom...
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11/28/2021
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network
Recently, Graph Neural Networks (GNNs) have proven their effectiveness f...
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01/18/2021
DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing
With the magnitude of graph-structured data continually increasing, grap...
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01/17/2021
Heterogeneous Similarity Graph Neural Network on Electronic Health Records
Mining Electronic Health Records (EHRs) becomes a promising topic becaus...
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01/08/2021
Dynamic Graph Collaborative Filtering
Dynamic recommendation is essential for modern recommender systems to pr...
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10/22/2020
Basket Recommendation with Multi-Intent Translation Graph Neural Network
The problem of basket recommendation (BR) is to recommend a ranking list...
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06/03/2016