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1902.07153
Cited By
Simplifying Graph Convolutional Networks
19 February 2019
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
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Papers citing
"Simplifying Graph Convolutional Networks"
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Title
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
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On the Feasibility of Fidelity
−
^-
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for Graph Pruning
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Won-Yong Shin
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17 Jun 2024
Graph Neural Reaction Diffusion Models
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Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
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Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency
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How Interpretable Are Interpretable Graph Neural Networks?
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Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks
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Road Network Representation Learning with the Third Law of Geography
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Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach
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