gnn model
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Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective Zihan Luo
GNNs to mitigate the bias as well as boost their utility in an end-to-end manner.
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Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals Tingting Dan
Since the PDE in Eq. 5 in the main manuscript is equivalent to the E-L equation of the quadratic
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Deep Homomorphism Networks
Graph neural network (GNN) is a type of neural network that takes a graph as input.
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Adaptive GNN for Image Analysis and Editing
Lingyu Liang, LianWen Jin, Yong Xu
Neural Information Processing Systems http://nips.cc/
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