SOTAVerified

Prediction

Papers

Showing 801825 of 8760 papers

TitleStatusHype
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link PredictionCode1
A Scalable and Generalizable Pathloss Map PredictionCode1
Combating Bilateral Edge Noise for Robust Link PredictionCode1
Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction PredictionCode1
LePaRD: A Large-Scale Dataset of Judges Citing PrecedentsCode1
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional ApproachCode1
Code4Struct: Code Generation for Few-Shot Event Structure PredictionCode1
State-of-the-Art Augmented NLP Transformer models for direct and single-step retrosynthesisCode1
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield PredictionCode1
Link Prediction Based on Graph Neural NetworksCode1
Clockwork Variational AutoencodersCode1
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope PredictionCode1
A Graph and Attentive Multi-Path Convolutional Network for Traffic PredictionCode1
Lipophilicity Prediction with Multitask Learning and Molecular Substructures RepresentationCode1
Augmenting Legal Judgment Prediction with Contrastive Case RelationsCode1
LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language ModelsCode1
A simple equivariant machine learning method for dynamics based on scalarsCode1
Local Frequency Domain Transformer Networks for Video PredictionCode1
Co-evolution Transformer for Protein Contact PredictionCode1
LOPR: Latent Occupancy PRediction using Generative ModelsCode1
Combinatorial Optimization Perspective based Framework for Multi-behavior RecommendationCode1
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge IntegrationCode1
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad ServingCode1
Machine Learning based prediction of Glucose Levels in Type 1 Diabetes Patients with the use of Continuous Glucose Monitoring DataCode1
Class Incremental Learning via Likelihood Ratio Based Task PredictionCode1
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Benchmark Results

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