Multi-Label Graph Convolutional Network Representation Learning

26 Dec 2019Min ShiYufei TangXingquan ZhuJianxun Liu

Knowledge representation of graph-based systems is fundamental across many disciplines. To date, most existing methods for representation learning primarily focus on networks with simplex labels, yet real-world objects (nodes) are inherently complex in nature and often contain rich semantics or labels, e.g., a user may belong to diverse interest groups of a social network, resulting in multi-label networks for many applications... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Multi-Label Classification MS-COCO ML-GCN mAP 83.0 # 3

Methods used in the Paper


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