SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 10926–10950 of 14581 papers

TitleStatusHype
Graph-based Deep-Tree Recursive Neural Network (DTRNN) for Text Classification—0
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images—0
Graph-based Isometry Invariant Representation Learning—0
Graph-based methods for analyzing orchard tree structure using noisy point cloud data—0
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation—0
Graph Based Semi-supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets—0
Graph Classification Based on Skeleton and Component Features—0
Graph Classification by Mixture of Diverse Experts—0
Graph Classification via Deep Learning with Virtual Nodes—0
Graph Classification with 2D Convolutional Neural Networks—0
Graph Classification with Geometric Scattering—0
Graph Convolution: A High-Order and Adaptive Approach—0
Graph Convolutional Networks for Classification with a Structured Label Space—0
Graph convolutional networks for exploring authorship hypotheses—0
Graph Convolutional Neural Networks based on Quantum Vertex Saliency—0
Graph Convolutional Neural Networks via Motif-based Attention—0
GraphCrop: Subgraph Cropping for Graph Classification—0
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification—0
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification)—0
Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection—0
Graph embedding using multi-layer adjacent point merging model—0
Graph Embedding with Rich Information through Heterogeneous Network—0
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification—0
Graph-FCN for image semantic segmentation—0
Improving Classification Accuracy with Graph Filtering—0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified