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08/31/2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
The electronic design automation of analog circuits has been a longstand...
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08/04/2023
VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs
Graph Neural Networks (GNNs) conduct message passing which aggregates lo...
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05/08/2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
Relational pooling is a framework for building more expressive and permu...
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04/20/2023
Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks
In this paper, we provide a theory of using graph neural networks (GNNs)...
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04/16/2023
Towards Better Evaluation of GNN Expressiveness with BREC Dataset
Research on the theoretical expressiveness of Graph Neural Networks (GNN...
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02/02/2023
Neural Common Neighbor with Completion for Link Prediction
Despite its outstanding performance in various graph tasks, vanilla Mess...
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10/30/2020
Revisiting Graph Neural Networks for Link Prediction
Graph neural networks (GNNs) have achieved great success in recent years...
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04/26/2019
