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scores.txt
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Node2Vec -> accuracy for 3 executions on protein dataset:
Hadamard: 0.7768154422991823
L1: 0.7087667322717269
L2: 0.7331288776401133
Node2Vec -> accuracy for 3 executions on wikipedia dataset:
Hadamard: 0.6671510913438828
L1: 0.7812271761213984
L2: 0.7999322839963732
Node2Vec -> accuracy for 3 executions on ca-AstroPh dataset:
Hadamard: 0.9635397116811552
L1: 0.6157913228408334
L2: 0.6535742567028303
Node2Vec -> accuracy for 3 executions on facebook dataset:
Hadamard: 0.9645488133825962
L1: 0.8246594283382823
L2: 0.8179991084313681
node2vec-> accuracy for 3 executions on blogcatalog.txt dataset:
Hadamard: 0.761750348570636
L1: 0.8315902306404818
L2: 0.840869146034379
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Deepwalk-> accuracy for 3 executions on ca-AstroPh dataset:
Hadamard: 0.8517406154829809
L1: 0.9371039658102401
L2: 0.9379553446738345
Deepwalk -> accuracy for 3 executions on wikipedia dataset:
Hadamard: 0.5897374255415765
L1: 0.6822840149228481
L2: 0.6832723419789691
Deepwalk -> accuracy for 3 executions on protein dataset:
Hadamard: 0.640594749477271
L1: 0.8181419241591161
L2: 0.8208953939612965
Deepwalk-> accuracy for 3 executions on facebook dataset:
Hadamard: 0.9410544687988757
L1: 0.9583116107925139
L2: 0.9585420586168597
Deepwalk -> accuracy for 3 executions on blogcatalog dataset:
Hadamard: 0.5918564717365854
L1: 0.856485709352472
L2: 0.8588590836459741