Graph Mining

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

6 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 86 papers with code (174 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.

• Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
  19 Aug 2020 6 repositories listed Syntology ran 1 of 17 samples · 16 unverified
  Finally, the selected neighbors across different relations are aggregated together.
• False Information on Web and Social Media: A Survey
  23 Apr 2018 3 repositories listed
  False information can be created and spread easily through the web and social media platforms, resulting in widespread real-world impact.
• All the World's a (Hyper)Graph: A Data Drama
  16 Jun 2022 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  We introduce Hyperbard, a dataset of diverse relational data representations derived from Shakespeare's plays.
• A Survey on Fairness for Machine Learning on Graphs
  11 May 2022 2 repositories listed
  In that context, algorithmic contributions for graph mining are not spared by the problem of fairness and present some specific challenges related to the intrinsic nature of graphs: (1) graph data is non-IID, and this…
• Fairness in Graph Mining: A Survey
  21 Apr 2022 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Recently, algorithmic fairness has been extensively studied in graph-based applications.
• Reinforcement learning on graphs: A survey
  13 Apr 2022 2 repositories listed
  In this survey, we provide a comprehensive overview of RL and graph mining methods and generalize these methods to Graph Reinforcement Learning (GRL) as a unified formulation.
• Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings
  8 Jan 2021 2 repositories listed
  Proximity preserving and structural role-based node embeddings have become a prime workhorse of applied graph mining.
• Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs
  10 Mar 2020 2 repositories listed
  We present Karate Club a Python framework combining more than 30 state-of-the-art graph mining algorithms which can solve unsupervised machine learning tasks.
• Pitfalls of Graph Neural Network Evaluation
  14 Nov 2018 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  We perform a thorough empirical evaluation of four prominent GNN models and show that considering different splits of the data leads to dramatically different rankings of models.
• Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study
  19 Jun 2018 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  To explore this, we present extensive experimental evaluation from five state-of-the-art unsupervised graph embedding techniques, across a range of empirical graph datasets, measuring a selection of topological features.
• Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network
  30 Dec 2024 1 repository listed
  Meanwhile, GAPA includes an extensible library that optimizes and accelerates 10 PSSO algorithms, covering 4 crucial tasks for graph mining.
• Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification
  26 Nov 2024 1 repository listed
  Multi-label node classification is an important yet under-explored domain in graph mining as many real-world nodes belong to multiple categories rather than just a single one.
• Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks
  7 Nov 2024 1 repository listed
  This observation has significant implications for capturing higher-order information in GNNs for various tasks such as node classification and semi-supervised learning.
• Accurate and Fast Estimation of Temporal Motifs using Path Sampling
  13 Sep 2024 1 repository listed
  A major challenge in counting is that there can be trillions of temporal motif matches even with a graph with only millions of vertices.
• Refining Wikidata Taxonomy using Large Language Models
  6 Sep 2024 1 repository listed
  Due to its collaborative nature, Wikidata is known to have a complex taxonomy, with recurrent issues like the ambiguity between instances and classes, the inaccuracy of some taxonomic paths, the presence of cycles, and…
• 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).
• Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets
  23 Jul 2024 1 repository listed
  A fundamental task in graph mining is to discover these dense subgraphs.
• When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark
  15 Jul 2024 1 repository listed
  Finally, we present a new variant of the model, H2G-former, developed following our standardized workflow, that excels at this challenging benchmark.
• Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks
  2 Jul 2024 1 repository listed Syntology ran 4 of 5 samples · 1 unverified
  Graph Neural Networks (GNNs) have emerged as a prominent framework for graph mining, leading to significant advances across various domains.
• Is Your Large Language Model Knowledgeable or a Choices-Only Cheater?
  2 Jul 2024 1 repository listed
  To answer this, we use a contrast set that probes if LLMs over-rely on choices-only shortcuts in MCQA.
• Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
  20 Jun 2024 1 repository listed
  Another promising line of research involves the adoption of modularity maximization, a popular and effective measure for community detection, as the guiding principle for clustering tasks.
• Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach
  19 Jun 2024 1 repository listed
  We first identify biased structural evolutions in a dynamic graph based on the evolving trend of vertex degree and then propose FairDGE, the first structurally Fair Dynamic Graph Embedding algorithm.
• Revisiting the Message Passing in Heterophilous Graph Neural Networks
  28 May 2024 1 repository listed
  Based on HTMP and empirical analysis, we reveal that the success of message passing in existing HTGNNs is attributed to implicitly enhancing the compatibility matrix among classes.
• OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining
  24 Feb 2024 1 repository listed
  We envisage that OAG-Bench can serve as a common ground for the community to evaluate and compare algorithms in academic graph mining, thereby accelerating algorithm development and advancement in this field.
• Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph
  14 Feb 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  In this paper, we argue that properly fetching and condensing the background nodes from massive web graph data might be a more economical shortcut to tackle the obstacles fundamentally.
• Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns
  21 Dec 2023 1 repository listed Syntology ran 13 of 13 samples · 0 unverified · 13 pointer-only (licence)
  In this paper, we identify the fundamental cause of structural divergence as the discrepancy of generative patterns between the pre-training and downstream graphs.
• DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
  20 Dec 2023 1 repository listed
  Graph clustering is a fundamental and challenging task in the field of graph mining where the objective is to group the nodes into clusters taking into consideration the topology of the graph.
• When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
  19 Dec 2023 1 repository listed
  Specifically, we first employ causal tools to analyze the primary trustworthiness risks of existing GNNs, underscoring the necessity for GNNs to comprehend the causal mechanisms within graph data.
• User Modeling in the Era of Large Language Models: Current Research and Future Directions
  11 Dec 2023 1 repository listed
  Two common types of user data are text and graph, as the data usually contain a large amount of user-generated content (UGC) and online interactions.
• Fast Graph Condensation with Structure-based Neural Tangent Kernel
  17 Oct 2023 1 repository listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
  The rapid development of Internet technology has given rise to a vast amount of graph-structured data.

Syntology lines on 9 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.