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DepWiGNN: A Novel Graph Neural Network for Multi-hop Spatial Reasoning in Text
Proposing a novel Depth-Wise Graph Neural Network (DepWiGNN) to address multi-hop spatial reasoning challenges by operating over the depth dimension of the graph.
DepWiGNN: A Novel Approach for Multi-hop Spatial Reasoning in Text
The author proposes DepWiGNN, a novel Depth-Wise Graph Neural Network, to address challenges in multi-hop spatial reasoning by focusing on depth aggregation and avoiding over-smoothing issues.
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