Node Clustering

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

14 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.

Most implemented papers archive 2025-07-28

30 shown of 72 papers with code (130 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.

• Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity
  18 Aug 2023 3 repositories listed Syntology ran 5 of 26 samples · 21 unverified
  In this paper, we propose Unified Graph Transformer Networks (UGT) that effectively integrate local and global structural information into fixed-length vector representations.
• Attributed Graph Clustering: A Deep Attentional Embedding Approach
  15 Jun 2019 3 repositories listed Syntology ran 2 of 8 samples · 6 unverified · 1 pointer-only (licence)
  Graph clustering is a fundamental task which discovers communities or groups in networks.
• Graph Parsing Networks
  22 Feb 2024 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  GPN benefits from the discrete assignments generated by the graph parsing algorithm, allowing good memory efficiency while preserving node information intact.
• CONVERT:Contrastive Graph Clustering with Reliable Augmentation
  17 Aug 2023 2 repositories listed Syntology ran 5 of 7 samples · 2 unverified · 7 pointer-only (licence)
  To address these problems, we propose a novel CONtrastiVe Graph ClustEring network with Reliable AugmenTation (CONVERT).
• Deep Temporal Graph Clustering
  18 May 2023 2 repositories listed
  To solve the problem, we propose a general framework for deep Temporal Graph Clustering called TGC, which introduces deep clustering techniques to suit the interaction sequence-based batch-processing pattern of temporal…
• GraphLearner: Graph Node Clustering with Fully Learnable Augmentation
  7 Dec 2022 2 repositories listed
  During the training procedure, we notice the distinct optimization goals for training learnable augmentors and contrastive learning networks.
• NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
  17 Jun 2022 2 repositories listed
  First, GNNs can learn higher-order structural information by stacking more layers but can not deal with large depth due to the over-smoothing issue.
• Asymptotics of Network Embeddings Learned via Subsampling
  6 Jul 2021 2 repositories listed Syntology ran 3 of 9 samples · 6 unverified
  We prove, under the assumption that the graph is exchangeable, that the distribution of the learned embedding vectors asymptotically decouples.
• Simple Spectral Graph Convolution
  1 Jan 2021 2 repositories listed
  Our spectral analysis shows that our simple spectral graph convolution used in S^2GC is a low-pass filter which partitions networks into a few large parts.
• Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
  15 Sep 2020 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 1 pointer-only (licence)
  Motivated by this observation, we propose a graph representation learning method called Graph InfoClust (GIC), that seeks to additionally capture cluster-level information content.
• MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
  5 Feb 2020 2 repositories listed
  A large number of real-world graphs or networks are inherently heterogeneous, involving a diversity of node types and relation types.
• Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks
  15 Apr 2018 2 repositories listed
  It is not straightforward to integrate the content of each node in the current state-of-the-art network embedding methods.
• Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention
  21 Apr 2025 1 repository listed
  To solve it, we propose a novel Degree Fairness Graph Transformer, named DegFairGT, to mitigate degree bias by discovering structural similarities between non-adjacent nodes through learnable structural augmentation and…
• Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention
  9 Oct 2024 1 repository listed Syntology ran 13 of 14 samples · 1 unverified · 14 pointer-only (licence)
  In the realm of graph learning, there is a category of methods that conceptualize graphs as hierarchical structures, utilizing node clustering to capture broader structural information.
• A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation
  10 Aug 2024 1 repository listed
  In this paper, we first present AHCKA as an efficient approach to attributed hypergraph clustering (AHC).
• Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning
  9 Aug 2024 1 repository listed Syntology ran 6 of 11 samples · 5 unverified
  Therefore, we propose to expand the positive pair set with node-neighbor pairs.
• Cluster-based Graph Collaborative Filtering
  16 Apr 2024 1 repository listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  This model performs high-order graph convolution on cluster-specific graphs, which are constructed by capturing the multiple interests of users and identifying the common interests among them.
• A Contrastive Variational Graph Auto-Encoder for Node Clustering
  28 Dec 2023 1 repository listed
  Thanks to a newly identified term, our lower bound can escape Posterior Collapse and has more flexibility to account for the difference between the inference and generative models.
• Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures
  28 Dec 2023 1 repository listed
  In this paper, we propose Community-aware Graph Transformers, namely CGT, to learn degree-unbiased representations based on learnable augmentations and graph transformers by extracting within community structures.
• Contrastive Deep Nonnegative Matrix Factorization for Community Detection
  4 Nov 2023 1 repository listed
  Recently, nonnegative matrix factorization (NMF) has been widely adopted for community detection, because of its better interpretability.
• General Graph Random Features
  7 Oct 2023 1 repository listed
  This includes many of the most popular examples of kernels defined on the nodes of a graph.
• SR-HGN: semantic- and relation-aware heterogeneous graph neural network
  15 Aug 2023 1 repository listed
  In particular, we introduce semantic-aware attention and relation-aware attention in the type-level aggregation to model the contributions of relation vectors, in order to simultaneously gain knowledge from node…
• Classification of Edge-dependent Labels of Nodes in Hypergraphs
  5 Jun 2023 1 repository listed
  Interestingly, many real-world systems modeled as hypergraphs contain edge-dependent node labels, i.
• Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering
  26 May 2023 1 repository listed
  To address the two problems, we propose a new CSKG completion framework based on Contrastive Pretraining and Node Clustering (CPNC).
• CSGCL: Community-Strength-Enhanced Graph Contrastive Learning
  8 May 2023 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  Graph Contrastive Learning (GCL) is an effective way to learn generalized graph representations in a self-supervised manner, and has grown rapidly in recent years.
• PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning
  4 May 2023 1 repository listed
  Although graph mining research via heterogeneous graph neural networks has taken center stage, it remains unclear whether these approaches capture the heterogeneity of the PubMed database, a vast digital repository…
• Semantic-Fused Multi-Granularity Cross-City Traffic Prediction
  23 Feb 2023 1 repository listed
  Accurate traffic prediction is essential for effective urban management and the improvement of transportation efficiency.
• Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
  16 Feb 2023 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  To perform future forecasting of pressure and velocity on the challenging EAGLE dataset, we introduce a new mesh transformer.
• USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
  12 Feb 2023 1 repository listed
  To this end, we propose USER, an unsupervised robust version of graph neural networks that is based on structural entropy.
• Scalable Attributed-Graph Subspace Clustering
  1 Feb 2023 1 repository listed
  Over recent years, graph convolutional networks emerged as powerful node clustering methods and have set state of the art results for this task.

Syntology lines on 11 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.