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Datasets › Yelp-Fraud

Yelp-Fraud (Multi-relational Graph Dataset for Yelp Spam Review Detection)

Introduced by Yingtong Dou et al. in Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters19 Aug 2020 archive 2025-07-28

Yelp-Fraud is a multi-relational graph dataset built upon the Yelp spam review dataset, which can be used in evaluating graph-based node classification, fraud detection, and anomaly detection models.

  • Dataset Statistics
# Nodes %Fraud Nodes (Class=1)
45,954 14.5
Relation # Edges
R-U-R 49,315
R-T-R 573,616
R-S-R 3,402,743
All 3,846,979
  • Graph Construction

The Yelp spam review dataset includes hotel and restaurant reviews filtered (spam) and recommended (legitimate) by Yelp. We conduct a spam review detection task on the Yelp-Fraud dataset which is a binary classification task. We take 32 handcrafted features from SpEagle paper as the raw node features for Yelp-Fraud. Based on previous studies which show that opinion fraudsters have connections in user, product, review text, and time, we take reviews as nodes in the graph and design three relations: 1) R-U-R: it connects reviews posted by the same user; 2) R-S-R: it connects reviews under the same product with the same star rating (1-5 stars); 3) R-T-R: it connects two reviews under the same product posted in the same month.

To download the dataset, please visit this Github repo. For any other questions, please email ytongdou(AT)gmail.com for inquiry.

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Fraud Detection Yelp-Fraud LEX-GNN AUC-ROC 96.40 LEX-GNN: Label-Exploring Graph Neural Network for... wdhyun/LEX-GNN 10 Compare
Node Classification Yelp-Fraud LEX-GNN AUC-ROC 96.40 LEX-GNN: Label-Exploring Graph Neural Network for... wdhyun/LEX-GNN 9 Compare
Graph Anomaly Detection Yelp-Fraud Grad AUC 99.08 Grad: Guided Relation Diffusion Generation for Graph... ai4risk/antifraud +2 1 Compare

Papers archive 2025-07-28

11 shown of 11 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 13. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection 3 1 22 Apr 2025 not harvested
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation 2 2 24 Dec 2024 not harvested
Financial Fraud Detection using Jump-Attentive Graph Neural Networks 1 1 7 Nov 2024 not harvested
LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection 1 2 21 Oct 2024 not harvested
SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily 2 2 21 Oct 2023 not harvested
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware 2 2 30 Mar 2023 not harvested
RLC-GNN: An Improved Deep Architecture for Spatial-Based Graph Neural Network with Application to Fraud Detection 0 2 18 Jun 2021 not harvested
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection 1 2 19 Apr 2021 not harvested
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks 1 2 16 Apr 2021 not harvested
New Benchmarks for Learning on Non-Homophilous Graphs 1 2 3 Apr 2021 not harvested
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters 6 2 19 Aug 2020 ran 1 of 17 samples (16 unverified)

Dataset loaders archive 2025-07-28

docs.dgl.ai/api/python/dgl.data.html#fraud-datasetdmlc/dglpytorch
YingtongDou/CARE-GNNpytorch

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Anomaly DetectionNode ClassificationFraud DetectionGraph Anomaly DetectionGraph Mining

License archive 2025-07-28

Apache-2.0

Modalities archive 2025-07-28

Graphs

Languages archive 2025-07-28

English

Variants archive 2025-07-28

  • Yelp-Fraud

1 variant name, as the archive lists them.

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