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Papers

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Showing 2801–2825 of 8759 papers

TitleStatusHype
Parallel Knowledge Enhancement based Framework for Multi-behavior RecommendationCode1
An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images—0
Joint-Relation Transformer for Multi-Person Motion PredictionCode1
Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum Disorder—0
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction—0
Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress and Stress-related Mental Disorders: A Scoping Review—0
AudioVMAF: Audio Quality Prediction with VMAF—0
Imbalanced Large Graph Learning Framework for FPGA Logic Elements Packing Prediction—0
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data—0
Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries—0
Comparative Analysis of Epileptic Seizure Prediction: Exploring Diverse Pre-Processing Techniques and Machine Learning Models—0
Machine Learning for Infectious Disease Risk Prediction: A Survey—0
Predicting Group Choices from Group Profiles—0
OBESEYE: Interpretable Diet Recommender for Obesity Management using Machine Learning and Explainable AI—0
High-Accuracy Prediction of Metal-Insulator-Metal Metasurface with Deep Learning—0
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction—0
Personalization of Stress Mobile Sensing using Self-Supervised Learning—0
Fluid Viscosity Prediction Leveraging Computer Vision and Robot InteractionCode0
Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction—0
SURE-Val: Safe Urban Relevance Extension and Validation—0
Diffusion-Augmented Depth Prediction with Sparse Annotations—0
Feature Noise Resilient for QoS Prediction with Probabilistic Deep Supervision—0
Evaluating Link Prediction Explanations for Graph Neural NetworksCode0
A Global Transport Capacity Risk Prediction Method for Rail Transit Based on Gaussian Bayesian Network—0
MAP: A Model-agnostic Pretraining Framework for Click-through Rate PredictionCode0
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All datasetsQM9Synthetic

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RELATIONFORMEREdit Distance9.15—Unverified
2ANY2GRAPHEdit Distance3.44—Unverified
3FGWBARY-ILE + FDEdit Distance2.84—Unverified
4ANY2GRAPH + FDEdit Distance2.13—Unverified
#ModelMetricClaimedVerifiedStatus
1CW-CNNRMSE1.15—Unverified
2CW-ATRMSE0.03—Unverified