This repository contains a curated list of papers on (or related to) graph structure learning (GSL), which are categorized based on their published years.
Continuously updating!
The application scenario of the graph structure learning paper, e.g. 
(WWW 2024) Challenging Low Homophily in Social Recommendation [PDF]
(TKDE 2024) Bi-Level Graph Structure Learning for Next POI Recommendation [PDF]
(KDD 2023) GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks [PDF] [Code]
(WWW 2023) SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization [PDF] [Code]
(WWW 2023) Homophily-oriented Heterogeneous Graph Rewiring [PDF]
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(ICDE 2023) Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting [PDF]
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(IJCAI 2023) Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification [PDF] [Code]
(ICDM 2023) Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection [PDF] [Code]
(WSDM 2023) Self-Supervised Graph Structure Refinement for Graph Neural Networks [PDF] [Code]
(PAKDD 2023) Interest Driven Graph Structure Learning for Session-Based Recommendation [PDF]
(KDD 2022) Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN [PDF]
(WWW 2022) Towards Unsupervised Deep Graph Structure Learning [PDF] [Code]
(WWW 2022) Compact Graph Structure Learning via Mutual Information Compression [PDF] [Code]
(WWW 2022) GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction [PDF] [Code]
(NIPS 2022) NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification [PDF] [Code]
(NIPS 2022) Contrastive Graph Structure Learning via Information Bottleneck for Recommendation [PDF] [Code]
(AAAI 2022) Graph Structure Learning with Variational Information Bottleneck [PDF] [Code]
(NIPS 2021) Graph Differentiable Architecture Search with Structure Learning [PDF] [Code]
(AAAI 2021) Heterogeneous Graph Structure Learning for Graph Neural Networks [PDF] [Code]
(CIKM 2021) Speedup Robust Graph Structure Learning with Low-Rank Information [PDF]
(KDD 2020) Graph Structure Learning for Robust Graph Neural Networks [PDF] [Code]
(NIPS 2020) Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings [PDF] [Code]
(ICML 2019) DAG-GNN: DAG Structure Learning with Graph Neural Networks [PDF] [Code]
(ICDM 2018) Deep Structure Learning for Fraud Detection [PDF] [Code]
(Arxiv 2021) A Survey on Graph Structure Learning: Progress and Opportunities [PDF]
(NIPS 2023) OpenGSL: A Comprehensive Benchmark for Graph Structure Learning [PDF] [Code]
(NIPS 2023) GSLB: The Graph Structure Learning Benchmark [PDF] [Code]