实体
R-GCN
R-GCN
PulseAugur coverage of R-GCN — every cluster mentioning R-GCN across labs, papers, and developer communities, ranked by signal.
总计 · 30天
2
90 天内 2
发布 · 30天
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90 天内 0
论文 · 30天
2
90 天内 2
层级分布 · 90 天
情绪 · 30 天
1 天有情绪数据
最近 · 第 1/1 页 · 共 2 条
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New HetSheaf framework enhances heterogeneous graph learning
Researchers have introduced HetSheaf, a novel framework for learning from heterogeneous graphs by leveraging cellular sheaves. This approach encodes heterogeneity directly into the data structure, allowing for type-awar…
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TypeBandit method improves attribute completion in heterogeneous graphs
Researchers have introduced TypeBandit, a new method designed to improve attribute completion in heterogeneous graph neural networks. This approach addresses the challenge of missing node attributes by recognizing that …