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Prediction

Papers

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Showing 1301–1325 of 8760 papers

TitleStatusHype
FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapy—0
Dynamic Graph Representation Learning for Passenger Behavior Prediction—0
A theoretical framework for reservoir computing on networks of organic electrochemical transistorsCode0
Out-of-distribution materials property prediction using adversarial learning based fine-tuning—0
OpenCity: Open Spatio-Temporal Foundation Models for Traffic PredictionCode2
Predicting the genetic component of gene expression using gene regulatory networksCode0
Extracting polygonal footprints in off-nadir images with Segment Anything ModelCode1
EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse DynamicsCode1
CTR-KAN: KAN for Adaptive High-Order Feature Interaction ModelingCode0
Efficient Autoregressive Audio Modeling via Next-Scale PredictionCode2
Beam Prediction based on Large Language Models—0
TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression RecognitionCode1
Self-Explainable Graph Transformer for Link Sign PredictionCode1
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction—0
Csi-LLM: A Novel Downlink Channel Prediction Method Aligned with LLM Pre-Training—0
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction—0
Conformalized Answer Set Prediction for Knowledge Graph Embedding—0
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising—0
Towards Practical Human Motion Prediction with LiDAR Point Clouds—0
Predicting Lung Cancer Patient Prognosis with Large Language Models—0
MLoRA: Multi-Domain Low-Rank Adaptive Network for CTR Prediction—0
Coordinated Spectral Efficiency Prediction for Real-World 5G CoMP Systems—0
Deep Learning: a Heuristic Three-stage Mechanism for Grid Searches to Optimize the Future Risk Prediction of Breast Cancer Metastasis Using EHR-based Clinical Data—0
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model—0
IMGCN: Interpretable Masked Graph Convolution Network for Pedestrian Trajectory PredictionCode1
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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