DGSLN: differentiable graph structure learning neural network for robust graph representations
Recently, graph neural networks (GNNs) have been widely used for graph representation
learning, where the central idea is to recursively aggregate neighborhood information to …
learning, where the central idea is to recursively aggregate neighborhood information to …
DGSLN:: Differentiable graph structure learning neural network for robust graph representations
X Zou, K Li, C Chen, X Yang, W Wei, K Li - 2023 - dl.acm.org
Recently, graph neural networks (GNNs) have been widely used for graph representation
learning, where the central idea is to recursively aggregate neighborhood information to …
learning, where the central idea is to recursively aggregate neighborhood information to …