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03/06/2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
Subgraph-based graph representation learning (SGRL) has recently emerged...
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07/24/2022
OCTAL: Graph Representation Learning for LTL Model Checking
Model Checking is widely applied in verifying the correctness of complex...
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07/22/2022
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
Graph neural networks (GNNs) have shown superiority in many prediction t...
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03/01/2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
Graph neural networks (GNN) have shown great advantages in many graph-ba...
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02/28/2022
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning
Subgraph-based graph representation learning (SGRL) has been recently pr...
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11/22/2020
Revisiting graph neural networks and distance encoding in a practical view
Graph neural networks (GNNs) are widely used in the applications based o...
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03/13/2019
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
The spatio-temporal graph learning is becoming an increasingly important...
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09/14/2017