TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Datasets/Chameleon (48%/32%/20% fixed splits)

Chameleon (48%/32%/20% fixed splits)

GraphsIntroduced 2020-02-13

Node classification on Chameleon with the fixed 48%/32%/20% splits provided by Geom-GCN.

Benchmarks

Node Classification/AccuracyNode Classification/1:1 Accuracy

Related Benchmarks

CHAMELEON/16k/MAECHAMELEON/16k/S-measureCHAMELEON/16k/weighted F-measureCHAMELEON/2D Classification/MAECHAMELEON/2D Classification/S-measureCHAMELEON/2D Classification/weighted F-measureCHAMELEON/2D Object Detection/MAECHAMELEON/2D Object Detection/S-measureCHAMELEON/2D Object Detection/weighted F-measureCHAMELEON/3D/MAECHAMELEON/3D/S-measureCHAMELEON/3D/weighted F-measureCHAMELEON/Camouflaged Object Segmentation/MAECHAMELEON/Camouflaged Object Segmentation/S-measureCHAMELEON/Camouflaged Object Segmentation/weighted F-measureCHAMELEON/Object Detection/MAECHAMELEON/Object Detection/S-measureCHAMELEON/Object Detection/weighted F-measureCHAMELEON/Object Segmentation/MAECHAMELEON/Object Segmentation/S-measureCHAMELEON/Object Segmentation/weighted F-measureChameleon/16k/E_{\phi}Chameleon/16k/F_{\beta}Chameleon/16k/MAEChameleon/16k/S_{\alpha}Chameleon/2D Classification/E_{\phi}Chameleon/2D Classification/F_{\beta}Chameleon/2D Classification/MAEChameleon/2D Classification/S_{\alpha}Chameleon/2D Object Detection/E_{\phi}Chameleon/2D Object Detection/F_{\beta}Chameleon/2D Object Detection/MAEChameleon/2D Object Detection/S_{\alpha}Chameleon/3D/E_{\phi}Chameleon/3D/F_{\beta}Chameleon/3D/MAEChameleon/3D/S_{\alpha}Chameleon/Camouflaged Object Segmentation/E_{\phi}Chameleon/Camouflaged Object Segmentation/F_{\beta}Chameleon/Camouflaged Object Segmentation/MAEChameleon/Camouflaged Object Segmentation/S_{\alpha}Chameleon/Node Classification/AccuracyChameleon/Object Detection/E_{\phi}Chameleon/Object Detection/F_{\beta}Chameleon/Object Detection/MAEChameleon/Object Detection/S_{\alpha}Chameleon/Object Segmentation/E_{\phi}Chameleon/Object Segmentation/F_{\beta}Chameleon/Object Segmentation/MAEChameleon/Object Segmentation/S_{\alpha}Chameleon (60%/20%/20% random splits)/Node Classification/1:1 AccuracyChameleon(60%/20%/20% random splits)/Node Classification/1:1 AccuracyChameleon(60%/20%/20% random splits)/Node Classification/Accuracy

Statistics

Papers
20
Benchmarks
2

Links

Tasks

Node ClassificationNode Classification on Non-Homophilic (Heterophilic) Graphs