{"task":"Node Classification","dataset":"Eximtradedata","metric_names":["Accuracy","Macro-F1","Macro F1","Micro F1"],"rows":[{"id":96780,"task":"Node Classification","parent_task":null,"dataset":"Eximtradedata","model_name":"Struc2vec","metrics":{"Accuracy":"22.80%","Macro-F1":"0.216"},"paper_url":"http://arxiv.org/abs/1704.03165v3","paper_title":"struc2vec: Learning Node Representations from Structural Identity","paper_date":"2017-04-11","code_links":[{"title":"shenweichen/GraphEmbedding","url":"https://github.com/shenweichen/GraphEmbedding"},{"title":"leoribeiro/struc2vec","url":"https://github.com/leoribeiro/struc2vec"},{"title":"snap-stanford/graphwave","url":"https://github.com/snap-stanford/graphwave"},{"title":"liuxinkai94/Graph-embedding","url":"https://github.com/liuxinkai94/Graph-embedding"},{"title":"zehong-wang/subgraph-pooling","url":"https://github.com/zehong-wang/subgraph-pooling"}],"metrics_order":"[\"Accuracy\", \"Macro-F1\", \"Macro F1\", \"Micro F1\"]","area":"Graphs","uses_additional_data":0,"source":"archive","tags":[]},{"id":96781,"task":"Node Classification","parent_task":null,"dataset":"Eximtradedata","model_name":"DeepWalk","metrics":{"Accuracy":"22.5%","Macro-F1":"0.214"},"paper_url":"http://arxiv.org/abs/1403.6652v2","paper_title":"DeepWalk: Online Learning of Social Representations","paper_date":"2014-03-26","code_links":[{"title":"PaddlePaddle/PaddleRec","url":"https://github.com/PaddlePaddle/PaddleRec/tree/master/models/recall/deepwalk"},{"title":"shenweichen/GraphEmbedding","url":"https://github.com/shenweichen/GraphEmbedding"},{"title":"williamleif/GraphSAGE","url":"https://github.com/williamleif/GraphSAGE"},{"title":"phanein/deepwalk","url":"https://github.com/phanein/deepwalk"},{"title":"benedekrozemberczki/karateclub","url":"https://github.com/benedekrozemberczki/karateclub"},{"title":"oj9040/GraphSAGE_RL","url":"https://github.com/oj9040/GraphSAGE_RL"},{"title":"leihuayi/NetworkEmbedding","url":"https://github.com/leihuayi/NetworkEmbedding"},{"title":"zxhhh97/ABot","url":"https://github.com/zxhhh97/ABot"},{"title":"Robotmurlock/Deepwalk-and-Node2vec","url":"https://github.com/Robotmurlock/Deepwalk-and-Node2vec"},{"title":"printfer/CS6490_NetworkSecurity_FinalProject","url":"https://github.com/printfer/CS6490_NetworkSecurity_FinalProject"},{"title":"gen3111620/DeepWalk","url":"https://github.com/gen3111620/DeepWalk"},{"title":"rforgione/deepwalk","url":"https://github.com/rforgione/deepwalk"},{"title":"ninoxjy/graph-embedding","url":"https://github.com/ninoxjy/graph-embedding"},{"title":"syyunn/node2vec","url":"https://github.com/syyunn/node2vec"}],"metrics_order":"[\"Accuracy\", \"Macro-F1\", \"Macro F1\", \"Micro F1\"]","area":"Graphs","uses_additional_data":0,"source":"archive","tags":[]},{"id":96782,"task":"Node Classification","parent_task":null,"dataset":"Eximtradedata","model_name":"LINE","metrics":{"Accuracy":"20.50%","Macro-F1":"0.192"},"paper_url":"http://arxiv.org/abs/1503.03578v1","paper_title":"LINE: Large-scale Information Network Embedding","paper_date":"2015-03-12","code_links":[{"title":"shenweichen/GraphEmbedding","url":"https://github.com/shenweichen/GraphEmbedding"},{"title":"tangjianpku/LINE","url":"https://github.com/tangjianpku/LINE"},{"title":"ink-usc/request","url":"https://github.com/ink-usc/request"},{"title":"leihuayi/NetworkEmbedding","url":"https://github.com/leihuayi/NetworkEmbedding"},{"title":"zxhhh97/ABot","url":"https://github.com/zxhhh97/ABot"},{"title":"abhilash1910/Deep-Graph-Learning","url":"https://github.com/abhilash1910/Deep-Graph-Learning"},{"title":"liuxinkai94/Graph-embedding","url":"https://github.com/liuxinkai94/Graph-embedding"},{"title":"2myeonggyu/Graph-Embedding","url":"https://github.com/2myeonggyu/Graph-Embedding"},{"title":"ninoxjy/graph-embedding","url":"https://github.com/ninoxjy/graph-embedding"}],"metrics_order":"[\"Accuracy\", \"Macro-F1\", \"Macro F1\", \"Micro F1\"]","area":"Graphs","uses_additional_data":0,"source":"archive","tags":[]},{"id":96783,"task":"Node Classification","parent_task":null,"dataset":"Eximtradedata","model_name":"GraRep","metrics":{"Macro-F1":"0.3093"},"paper_url":"https://www.researchgate.net/publication/301417811_GraRep","paper_title":"GraRep: Learning Graph Representations with Global Structural Information","paper_date":"2015-10-17","code_links":[{"title":"benedekrozemberczki/karateclub","url":"https://github.com/benedekrozemberczki/karateclub"},{"title":"benedekrozemberczki/GraRep","url":"https://github.com/benedekrozemberczki/GraRep"}],"metrics_order":"[\"Accuracy\", \"Macro-F1\", \"Macro F1\", \"Micro F1\"]","area":"Graphs","uses_additional_data":0,"source":"archive","tags":[]},{"id":96784,"task":"Node Classification","parent_task":null,"dataset":"Eximtradedata","model_name":"DAOR","metrics":{"Macro F1":"17.25","Micro F1":"33.05"},"paper_url":"https://arxiv.org/abs/1912.08808v1","paper_title":"Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection","paper_date":"2019-12-17","code_links":[{"title":"eXascaleInfolab/daor","url":"https://github.com/eXascaleInfolab/daor"}],"metrics_order":"[\"Accuracy\", \"Macro-F1\", \"Macro F1\", \"Micro F1\"]","area":"Graphs","uses_additional_data":0,"source":"archive","tags":[]}]}