May 16, 2024 · In this paper, we propose a new hierarchical pooling operation, namely the Edge-Node Attention-based Differentiable Pooling (ENADPool), for GNNs to learn ...
May 16, 2024 · As a result, the proposed ENADPool simultaneously identifies the importance of different nodes within each separated cluster and edges between ...
Dec 8, 2024 · Part 24: ENADPool: The edge-node attention based differentiable pooling for graph neural networks. 23 views · 10 days ago ...more ...
Sep 11, 2024 · In this paper, we propose a new hierarchical pooling operation, namely the Edge-Node Attention-based Differentiable Pooling (ENADPool), for GNNs ...
ENADPool: The Edge-Node Attention-based Differentiable ...
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May 16, 2024 · Proposes a new graph pooling method called ENADPool that leverages edge-node attention to capture both node and edge features for improved ...
This paper proposes an attention-based differentiable pooling operation, which can learn a hard cluster assignment for nodes and aggregate nodes in each ...
May 18, 2024 · ENADPool is a cluster-based hierarchical pooling method that assigns nodes to unique clusters, calculates node importance using attention mechanisms, and ...
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks. Preprint. May 2024. Zhehan Zhao · Opportunistic Sensing in Task- ...
May 19, 2024 · Researchers have developed a hierarchical pooling method called ENADPool for Graph Neural Networks (GNNs) that compresses node features and ...
In this paper, we propose a new hierarchical pooling operation, namely the Edge-Node Attention-based Differentiable Pooling (ENADPool), for GNNs ...