{"task":"Node Classification","dataset":"NELL","metric_names":["Accuracy"],"rows":[{"id":97040,"task":"Node Classification","parent_task":null,"dataset":"NELL","model_name":"DFNet-ATT","metrics":{"Accuracy":"68.8 ± 0.3"},"paper_url":"https://arxiv.org/abs/1910.10866v5","paper_title":"DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters","paper_date":"2019-10-24","code_links":[{"title":"wokas36/DFNets","url":"https://github.com/wokas36/DFNets"}],"metrics_order":"[\"Accuracy\"]","area":"Graphs","uses_additional_data":0,"source":"archive","tags":[]},{"id":97041,"task":"Node Classification","parent_task":null,"dataset":"NELL","model_name":"GCN","metrics":{"Accuracy":"66.0"},"paper_url":"http://arxiv.org/abs/1609.02907v4","paper_title":"Semi-Supervised Classification with Graph Convolutional Networks","paper_date":"2016-09-09","code_links":[{"title":"dmlc/dgl","url":"https://github.com/dmlc/dgl/tree/master/examples/mxnet/gcn"},{"title":"dmlc/dgl","url":"https://github.com/dmlc/dgl/tree/master/examples/tensorflow/gcn"},{"title":"tkipf/gcn","url":"https://github.com/tkipf/gcn"},{"title":"tkipf/pygcn","url":"https://github.com/tkipf/pygcn"},{"title":"tkipf/keras-gcn","url":"https://github.com/tkipf/keras-gcn"},{"title":"meliketoy/graph-cnn.pytorch","url":"https://github.com/meliketoy/graph-cnn.pytorch"},{"title":"deepchem/moleculenet","url":"https://github.com/deepchem/moleculenet"},{"title":"IllinoisGraphBenchmark/IGB-Datasets","url":"https://github.com/IllinoisGraphBenchmark/IGB-Datasets"},{"title":"tk-rusch/graphcon","url":"https://github.com/tk-rusch/graphcon"},{"title":"jiangboahu/glcn-tf","url":"https://github.com/jiangboahu/glcn-tf"},{"title":"alexOarga/haiku-geometric","url":"https://github.com/alexOarga/haiku-geometric"},{"title":"mahsa91/RA-GCN","url":"https://github.com/mahsa91/RA-GCN"},{"title":"fanzhenliu/dagad","url":"https://github.com/fanzhenliu/dagad"},{"title":"emartinezs44/SparkGCN","url":"https://github.com/emartinezs44/SparkGCN"},{"title":"yanhuchen/quantum-graph-convolutional-network","url":"https://github.com/yanhuchen/quantum-graph-convolutional-network"},{"title":"HamzaGbada/GCN-Numpy","url":"https://github.com/HamzaGbada/GCN-Numpy"},{"title":"nnaakkaaii/g2-MLP","url":"https://github.com/nnaakkaaii/g2-MLP"},{"title":"basiralab/RG-Select","url":"https://github.com/basiralab/RG-Select"},{"title":"basiralab/reproduciblefedgnn","url":"https://github.com/basiralab/reproduciblefedgnn"},{"title":"cybermonic/cage-4-submission","url":"https://github.com/cybermonic/cage-4-submission"},{"title":"mahsa91/GKD","url":"https://github.com/mahsa91/GKD"},{"title":"selmiss/gp-tlstgcn","url":"https://github.com/selmiss/gp-tlstgcn"},{"title":"hazdzz/GCN","url":"https://github.com/hazdzz/GCN"},{"title":"abi-kothapalli/minimumdominatingsets","url":"https://github.com/abi-kothapalli/minimumdominatingsets"},{"title":"tuananh0305/GCN_ANOMALY_DETECTION","url":"https://github.com/tuananh0305/GCN_ANOMALY_DETECTION"},{"title":"basiralab/Reproducible-Generative-Learning","url":"https://github.com/basiralab/Reproducible-Generative-Learning"},{"title":"negarhdr/PGCN","url":"https://github.com/negarhdr/PGCN"},{"title":"ZeinabRahbar/Implementation-for-the-paper-of-SEMI-SUPERVISED-CLASSIFICATION-WITH-GRAPH-CONVOLUTIONAL-NETWORKS","url":"https://github.com/ZeinabRahbar/Implementation-for-the-paper-of-SEMI-SUPERVISED-CLASSIFICATION-WITH-GRAPH-CONVOLUTIONAL-NETWORKS"},{"title":"bcsrn/gcn","url":"https://github.com/bcsrn/gcn"},{"title":"yCobanoglu/infinite-width-gnns","url":"https://github.com/yCobanoglu/infinite-width-gnns"},{"title":"sunxiaobei/mindspore_gallery","url":"https://github.com/sunxiaobei/mindspore_gallery/tree/main/grl/gcn"},{"title":"kiharalab/gnn_pocket","url":"https://github.com/kiharalab/gnn_pocket"},{"title":"ykrmm/sota_gnn","url":"https://github.com/ykrmm/sota_gnn"},{"title":"mahequn001/graphlearning","url":"https://github.com/mahequn001/graphlearning/tree/master/model_zoo/gcn"},{"title":"alililia/ms_contrib","url":"https://github.com/alililia/ms_contrib/tree/main/ascend_gcn"},{"title":"alililia/ms_contrib","url":"https://github.com/alililia/ms_contrib/tree/main/gpu_gcn"},{"title":"30Aniket/Graph-Convolutional-Networks-GCNs","url":"https://github.com/30Aniket/Graph-Convolutional-Networks-GCNs"},{"title":"zhiqiang00/Hon-GCN","url":"https://github.com/zhiqiang00/Hon-GCN"},{"title":"clin366/pygcn","url":"https://github.com/clin366/pygcn"},{"title":"nieci2024/pyglcn","url":"https://github.com/nieci2024/pyglcn"},{"title":"mahendrathapa/graph-convolution-network","url":"https://github.com/mahendrathapa/graph-convolution-network"},{"title":"yangjun1994/CAGCN","url":"https://github.com/yangjun1994/CAGCN"},{"title":"darnbi/pygcn","url":"https://github.com/darnbi/pygcn"},{"title":"1075225782/GCN","url":"https://github.com/1075225782/GCN"},{"title":"udlf/wsef","url":"https://github.com/udlf/wsef"},{"title":"thanhtrunghuynh93/pygcn","url":"https://github.com/thanhtrunghuynh93/pygcn"},{"title":"KimMeen/GCN","url":"https://github.com/KimMeen/GCN"},{"title":"LouisDumont/GCN---re-implementation","url":"https://github.com/LouisDumont/GCN---re-implementation"},{"title":"bepping/non-oversmoothing-gcns","url":"https://github.com/bepping/non-oversmoothing-gcns"},{"title":"toinesayan/node-classification-and-label-dependencies","url":"https://github.com/toinesayan/node-classification-and-label-dependencies"},{"title":"HoganZhang/pygcn_python3","url":"https://github.com/HoganZhang/pygcn_python3"},{"title":"asif-salim/GCN-Graph_Convolutional_Network","url":"https://github.com/asif-salim/GCN-Graph_Convolutional_Network"},{"title":"2023-MindSpore-1/ms-code-11","url":"https://github.com/2023-MindSpore-1/ms-code-11/tree/main/gcn"},{"title":"ajbisberg/gcn","url":"https://github.com/ajbisberg/gcn"},{"title":"lipingcoding/pygcn","url":"https://github.com/lipingcoding/pygcn"}],"metrics_order":"[\"Accuracy\"]","area":"Graphs","uses_additional_data":0,"source":"archive","tags":[]},{"id":97042,"task":"Node Classification","parent_task":null,"dataset":"NELL","model_name":"GraphVAT","metrics":{"Accuracy":"64.7%"},"paper_url":"https://arxiv.org/abs/1902.08226v2","paper_title":"Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure","paper_date":"2019-02-20","code_links":[{"title":"fulifeng/GraphAT","url":"https://github.com/fulifeng/GraphAT"}],"metrics_order":"[\"Accuracy\"]","area":"Graphs","uses_additional_data":0,"source":"archive","tags":[]},{"id":97043,"task":"Node Classification","parent_task":null,"dataset":"NELL","model_name":"Planetoid*","metrics":{"Accuracy":"61.9%"},"paper_url":"http://arxiv.org/abs/1603.08861v2","paper_title":"Revisiting Semi-Supervised Learning with Graph Embeddings","paper_date":"2016-03-29","code_links":[{"title":"tkipf/gcn","url":"https://github.com/tkipf/gcn"},{"title":"kimiyoung/planetoid","url":"https://github.com/kimiyoung/planetoid"},{"title":"DeepGraphLearning/GMNN","url":"https://github.com/DeepGraphLearning/GMNN"},{"title":"meliketoy/graph-cnn.pytorch","url":"https://github.com/meliketoy/graph-cnn.pytorch"},{"title":"iMoonLab/DHGNN","url":"https://github.com/iMoonLab/DHGNN"},{"title":"agiresearch/InstructGLM","url":"https://github.com/agiresearch/InstructGLM"},{"title":"ZhuangCY/Coding-NN","url":"https://github.com/ZhuangCY/Coding-NN"},{"title":"ZhuangCY/DGCN","url":"https://github.com/ZhuangCY/DGCN"},{"title":"dfdazac/dgi","url":"https://github.com/dfdazac/dgi"},{"title":"jiangboahu/glcn-tf","url":"https://github.com/jiangboahu/glcn-tf"},{"title":"tkipf/ica","url":"https://github.com/tkipf/ica"},{"title":"plusross/grcn","url":"https://github.com/plusross/grcn"},{"title":"Maysir/GRCN","url":"https://github.com/Maysir/GRCN"},{"title":"firojalam/domain-adaptation","url":"https://github.com/firojalam/domain-adaptation"},{"title":"venomouscyanide/s3grl","url":"https://github.com/venomouscyanide/s3grl"},{"title":"wokas36/DFNets","url":"https://github.com/wokas36/DFNets"},{"title":"asarigun/nfc-gcn","url":"https://github.com/asarigun/nfc-gcn"},{"title":"asarigun/la-gcn-pytorch","url":"https://github.com/asarigun/la-gcn-pytorch"},{"title":"asarigun/nfc","url":"https://github.com/asarigun/nfc"},{"title":"venomouscyanide/s3grl_ogb","url":"https://github.com/venomouscyanide/s3grl_ogb"},{"title":"venomouscyanide/S3GRL_OGB","url":"https://github.com/venomouscyanide/S3GRL_OGB"},{"title":"asarigun/la-gcn-tensorflow","url":"https://github.com/asarigun/la-gcn-tensorflow"},{"title":"BingYu94860/HGNN-Node-Classification","url":"https://github.com/BingYu94860/HGNN-Node-Classification"},{"title":"ajbisberg/gcn","url":"https://github.com/ajbisberg/gcn"},{"title":"mipot101/GNM-Implementations","url":"https://github.com/mipot101/GNM-Implementations"},{"title":"bepping/non-oversmoothing-gcns","url":"https://github.com/bepping/non-oversmoothing-gcns"}],"metrics_order":"[\"Accuracy\"]","area":"Graphs","uses_additional_data":0,"source":"archive","tags":[]}]}