Statistical Learning
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OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
Neural Information Processing Systems
Graph Structure Learning (GSL), a family of data-centric learning approaches, has garnered substantial attention in recent years. The core concept behind GSL is to jointly optimize the graph structure and the corresponding GNN models.
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Certifiably Robust Graph Contrastive Learning
Neural Information Processing Systems
Specifically, we first propose a unified criteria to evaluate and certify the robustness of GCL.
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