AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism

Research article (2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019) · cited 72× · AI/ML
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AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism

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AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism. Retrieved May 24, 2026, from https://4ort.xyz/entity/attpool-towards-hierarchical-feature-representation-in-graph-convolutional-networks-via-attention-mechanism
MLA “AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/attpool-towards-hierarchical-feature-representation-in-graph-convolutional-networks-via-attention-mechanism.
BibTeX @misc{4ortxyz_attpool-towards-hierarchical-feature-representation-in-graph-convolutional-networks-via-attention-mechanism_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism}}, year = {2026}, url = {https://4ort.xyz/entity/attpool-towards-hierarchical-feature-representation-in-graph-convolutional-networks-via-attention-mechanism}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism — https://4ort.xyz/entity/attpool-towards-hierarchical-feature-representation-in-graph-convolutional-networks-via-attention-mechanism (retrieved 2026-05-24)

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