Graph structure learning

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 71 papers with code (132 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Graph Structure Learning for Robust Graph Neural Networks
  20 May 2020 3 repositories listed
  A natural idea to defend adversarial attacks is to clean the perturbed graph.
• PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning
  16 Jun 2025 2 repositories listed
  Accurate weather forecasts are essential for supporting a wide range of activities and decision-making processes, as well as mitigating the impacts of adverse weather events.
• SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
  17 Mar 2023 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  Graph Neural Networks (GNNs) are de facto solutions to structural data learning.
• A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation
  13 Nov 2022 2 repositories listed
  Based on this finding, we propose a simple yet effective model, dubbed as FREEDOM, that FREEzes the item-item graph and DenOises the user-item interaction graph simultaneously for Multimodal recommendation.
• DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning
  27 Sep 2022 2 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 5 pointer-only (licence)
  Graph neural networks (GNNs) have demonstrated success in learning representations of brain graphs derived from functional magnetic resonance imaging (fMRI) data.
• Detecting Multivariate Time Series Anomalies with Zero Known Label
  3 Aug 2022 2 repositories listed
  Multivariate time series anomaly detection has been extensively studied under the semi-supervised setting, where a training dataset with all normal instances is required.
• Compact Graph Structure Learning via Mutual Information Compression
  14 Jan 2022 2 repositories listed
  Furthermore, we maintain the performance of estimated views and the final view and reduce the mutual information of every two views.
• Graph-Bert: Only Attention is Needed for Learning Graph Representations
  15 Jan 2020 2 repositories listed
  We have tested the effectiveness of GRAPH-BERT on several graph benchmark datasets.
• A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs
  17 Jun 2025 1 repository listed
  Temporal knowledge graph reasoning aims to predict future events with knowledge of existing facts and plays a key role in various downstream tasks.
• Unsupervised Graph Clustering with Deep Structural Entropy
  20 May 2025 1 repository listed
  Research on Graph Structure Learning (GSL) provides key insights for graph-based clustering, yet current methods like Graph Neural Networks (GNNs), Graph Attention Networks (GATs), and contrastive learning often rely…
• Weighted Graph Structure Learning with Attention Denoising for Node Classification
  15 Mar 2025 1 repository listed
  EWGSL improves node classification by redefining attention coefficients in graph attention networks to incorporate node features and edge weights.
• Spatio-Temporal Graph Structure Learning for Earthquake Detection
  14 Mar 2025 1 repository listed
  Earthquake detection is essential for earthquake early warning (EEW) systems.
• Uncertainty-Aware Graph Structure Learning
  18 Feb 2025 1 repository listed
  Importantly, UnGSL serves as a plug-in module that can be seamlessly integrated into existing GSL methods with minimal additional computational cost.
• Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data
  4 Feb 2025 1 repository listed
  The exploration of cellular heterogeneity within the tumor microenvironment (TME) via single-cell RNA sequencing (scRNA-seq) is essential for understanding cancer progression and response to therapy.
• Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
  24 Dec 2024 1 repository listed
  Spatial-temporal data collected across different geographic locations often suffer from missing values, posing challenges to data analysis.
• DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
  11 Dec 2024 1 repository listed Syntology ran 1 of 11 samples · 10 unverified
  In this work, we propose the novel DG-Mamba, a robust and efficient Dynamic Graph structure learning framework with the Selective State Space Models (Mamba).
• Spectrum Prediction via Graph Structure Learning
  7 Oct 2024 1 repository listed
  Empowered by the graph structure estimator, graph convolutional networks are fueled to effectively extract the correlations in the frequency domain, followed by gated recurrent unit networks to further extract the…
• Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
  25 Sep 2024 1 repository listed Syntology ran 4 of 10 samples · 6 unverified · 10 pointer-only (licence)
  Moreover, existing methods primarily rely on contrastive learning to maximize mutual information across different graphs, limiting them to multiplex graph redundant scenarios and failing to capture view-unique…
• GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification
  11 Jul 2024 1 repository listed
  Efficient extraction of spectral sequences and geospatial information has always been a hot topic in hyperspectral image classification.
• Motif-driven Subgraph Structure Learning for Graph Classification
  13 Jun 2024 1 repository listed
  Notably, applying node-level GSL to graph classification is non-trivial due to the lack of find-grained guidance for intricate structure learning.
• S²GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis
  5 Jun 2024 1 repository listed
  However, incorporating both semantic and syntactic information simultaneously within complex global structures can introduce irrelevant contexts and syntactic dependencies during the process of graph structure learning,…
• Learning Latent Graph Structures and their Uncertainty
  30 May 2024 1 repository listed Syntology ran 7 of 7 samples · 0 unverified · 7 pointer-only (licence)
  Within a prediction task, Graph Neural Networks (GNNs) use relational information as an inductive bias to enhance the model's accuracy.
• Learning Social Graph for Inactive User Recommendation
  8 May 2024 1 repository listed
  In this paper, we propose a novel social recommendation method called LSIR (\textbf{L}earning \textbf{S}ocial Graph for \textbf{I}nactive User \textbf{R}ecommendation) that learns an optimal social graph structure for…
• GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation Extraction
  18 Apr 2024 1 repository listed
  Information extraction (IE) is an important task in Natural Language Processing (NLP), involving the extraction of named entities and their relationships from unstructured text.
• DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise
  14 Apr 2024 1 repository listed
  Leveraging these modified representations, DEGNN subsequently addresses downstream tasks, ensuring robustness against noise present in both edges and node features of real-world graphs.
• From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations
  15 Mar 2024 1 repository listed
  However, existing time series anomaly detection methods fall short in tackling the unique characteristics of astronomical observations where each star is inherently independent but interfered by random concurrent noise,…
• LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection
  14 Mar 2024 1 repository listed
  Moreover, LAN can be also applied to post-hoc ITD, surpassing 8 competitive baselines by at least 7.
• Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding
  6 Mar 2024 1 repository listed
  The proposed GCN-SA contains two enhancements corresponding to edges and node features.
• GraphEdit: Large Language Models for Graph Structure Learning
  23 Feb 2024 1 repository listed
  Graph Structure Learning (GSL) focuses on capturing intrinsic dependencies and interactions among nodes in graph-structured data by generating novel graph structures.
• DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
  21 Feb 2024 1 repository listed
  We investigate the replay buffer in rehearsal-based approaches for graph continual learning (GCL) methods.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.