Cover Image

The Role of Community Detection Methods in Performance Variations of Graph Mining Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ghosh, Shrabani, Saule, Erik
Format:	Preprint
Published:	2025
Subjects:	Social and Information Networks Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

No Community Detection Method to Rule Them All!
by: Ghosh, Shrabani, et al.
Published: (2025)

A Survey on Signed Graph Embedding: Methods and Applications
by: Ghosh, Shrabani
Published: (2024)

Examining Different Research Communities: Authorship Network
by: Ghosh, Shrabani
Published: (2024)

A Comprehensive Review of Community Detection in Graphs
by: Li, Jiakang, et al.
Published: (2023)

Principal Graph Encoder Embedding and Principal Community Detection
by: Shen, Cencheng, et al.
Published: (2025)

Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection
by: Shen, Cencheng, et al.
Published: (2023)

Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
by: Niu, Chaoxi, et al.
Published: (2023)

Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approach
by: Li, Shujing, et al.
Published: (2024)

To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders
by: Salha-Galvan, Guillaume, et al.
Published: (2025)

Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-training
by: He, Yufei, et al.
Published: (2024)

Community-Centric Graph Unlearning
by: Li, Yi, et al.
Published: (2024)

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes
by: Zhao, Yige, et al.
Published: (2023)

Community-Invariant Graph Contrastive Learning
by: Tan, Shiyin, et al.
Published: (2024)

Web Scale Graph Mining for Cyber Threat Intelligence
by: Freitas, Scott, et al.
Published: (2024)

Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods
by: Hasan, Md Rakibul, et al.
Published: (2023)

Lying Graph Convolution: Learning to Lie for Node Classification Tasks
by: Castellana, Daniele
Published: (2024)

Learning on Large Graphs using Intersecting Communities
by: Finkelshtein, Ben, et al.
Published: (2024)

Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling
by: Ghosh, Hritaban, et al.
Published: (2024)

Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
by: Liu, Yonghao, et al.
Published: (2025)

Boosting Multitask Learning on Graphs through Higher-Order Task Affinities
by: Li, Dongyue, et al.
Published: (2023)

Representation Learning for Frequent Subgraph Mining
by: Ying, Rex, et al.
Published: (2024)

Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data
by: Yuan, Hanyang, et al.
Published: (2024)

Non-Dissipative Graph Propagation for Non-Local Community Detection
by: Leeney, William, et al.
Published: (2025)

Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
by: Wang, Yuxiang, et al.
Published: (2025)

A Community-Enhanced Graph Representation Model for Link Prediction
by: Wang, Lei, et al.
Published: (2025)

Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks
by: Anakok, Emre, et al.
Published: (2024)

Resampled Mutual Information for Clustering and Community Detection
by: Lim, Cheaheon
Published: (2024)

Learning for Detecting Norm Violation in Online Communities
by: Santos, Thiago Freitas dos, et al.
Published: (2021)

Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks
by: Huang, Zhenhua, et al.
Published: (2024)

Flex-GAD : Flexible Graph Anomaly Detection
by: Chakraborty, Apu, et al.
Published: (2025)

Multitask Active Learning for Graph Anomaly Detection
by: Chang, Wenjing, et al.
Published: (2024)

Changepoint Detection in Highly-Attributed Dynamic Graphs
by: Penaloza, Emiliano, et al.
Published: (2024)

Hub-aware Random Walk Graph Embedding Methods for Classification
by: Tomčić, Aleksandar, et al.
Published: (2022)

Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning
by: Chung, Hsing-Huan, et al.
Published: (2025)

Novel Node Category Detection Under Subpopulation Shift
by: Chung, Hsing-Huan, et al.
Published: (2024)

Multilayer Artificial Benchmark for Community Detection (mABCD)
by: Kraiński, Łukasz, et al.
Published: (2025)

Graph Vertex Embeddings: Distance, Regularization and Community Detection
by: Nowak, Radosław, et al.
Published: (2024)

Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
by: Shen, Cencheng, et al.
Published: (2024)

Hierarchical-Graph-Structured Edge Partition Models for Learning Evolving Community Structure
by: Yu, Xincan, et al.
Published: (2024)

VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
by: Braun, Guillaume, et al.
Published: (2024)