Penn94

Overview edit

Variants: Penn94

Associated Benchmarks

This dataset is used in 1 benchmark:

• Node Classification - Metrics: Accuracy

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification (2024) -
• Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters (2023) -
• Clarify Confused Nodes via Separated Learning (2023) -
• Revisiting Heterophily For Graph Neural Networks (2022) -
• Finding Global Homophily in Graph Neural Networks When Meeting Heterophily (2022) -
• Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods (2021) -
• Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns (2021) -
• New Benchmarks for Learning on Non-Homophilous Graphs (2021) -
• Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (2020) -
• Simple and Deep Graph Convolutional Networks (2020) -
• Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs (2020) -
• Adaptive Universal Generalized PageRank Graph Neural Network (2020) -
• MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing (2019) -
• Simplifying Graph Convolutional Networks (2019) -
• Predict then Propagate: Graph Neural Networks meet Personalized PageRank (2018) -
• Graph Attention Networks (2017) -
• Semi-Supervised Classification with Graph Convolutional Networks (2016) -