Structural Deep Network Embedding

KDD 2016 Daixin Wang1Peng Cui1Wenwu Zhu1

Networkembeddingisanimportantmethodtolearnlow-dimensional representations of vertexes in networks, aiming to capture and preserve the network structure. Almost all the existing network embeddingmethodsadoptshallowmodels... (read more)

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Evaluation Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Graph Classification BP-fMRI-97 SDBN Accuracy 64.8% # 2
Graph Classification BP-fMRI-97 SDBN F1 63.7% # 3
Graph Classification HIV-DTI-77 SDBN Accuracy 65.9% # 2
Graph Classification HIV-DTI-77 SDBN F1 65.6% # 2
Graph Classification HIV-fMRI-77 SDBN Accuracy 66.5% # 3
Graph Classification HIV-fMRI-77 SDBN F1 66.7% # 3