DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection

30 June 2022

Michalis Vazirgiannis

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Papers citing "DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection"

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Title
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph Shengtao Zhang Haokai Zhang Shiqi Lou Zicheng Wang Zinan Zeng Yilin Wang Minnan Luo 69 0 0 24 Apr 2025
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection Yunhui Liu Jiashun Cheng Yiqing Lin Qizhuo Xie Jia Li Fugee Tsung Hongzhi Yin Tao Zheng Jianhua Zhao Tieke He 36 0 0 19 Apr 2025
CRC-SGAD: Conformal Risk Control for Supervised Graph Anomaly Detection Songran Bai Xiaolong Zheng D. Zeng 45 1 0 03 Apr 2025
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning Hang Ni Jindong Han Nengjun Zhu Hao Liu 57 0 0 15 Mar 2025
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Karish Grover Geoffrey J. Gordon Christos Faloutsos 73 0 0 12 Feb 2025
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale Kay Liu Jiahao Ding MohamadAli Torkamani Philip S. Yu 87 1 0 01 Dec 2024
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach Shelei Li Yong Chai Tan Tai Vincent 44 0 0 04 Nov 2024
Graph Pre-Training Models Are Strong Anomaly Detectors Jiashun Cheng Zinan Zheng Yang Liu Jianheng Tang Haoran Wang Yu Rong Jia Li Fugee Tsung 31 1 0 24 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Jinghan Li Yuan Gao Jinda Lu Junfeng Fang Congcong Wen Hui Lin Xiang Wang 53 1 0 09 Oct 2024
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power Zhe Wang Tianjian Zhao Zhen Zhang Jiawei Chen Sheng Zhou Yan Feng Chun Chen Can Wang 39 1 0 02 Oct 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives Hezhe Qiao Hanghang Tong Bo An Irwin King Charu Aggarwal Guansong Pang 35 6 0 16 Sep 2024
Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks Zhengjia Xu Dingyang Lyu Jinghui Zhang GNN 41 0 0 21 Aug 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu Julian Shun 38 1 0 15 Jul 2024
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning Zitong Wang Xuexiong Luo Enfeng Song Qiuqing Bai Fu Lin 39 0 0 13 Jul 2024
Chromosomal Structural Abnormality Diagnosis by Homologous Similarity Juren Li Fanzhe Fu Ran Wei Yifei Sun Zeyu Lai Ning Song Xin Chen Yang Yang 32 1 0 11 Jul 2024
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories Yiqiao Jin Andrew Zhao Yeon-Chang Lee Meng Ye Ajay Divakaran Srijan Kumar AI4CE 56 3 0 25 Jun 2024
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs Jiasheng Zhang Jialin Chen Menglin Yang Aosong Feng Shuang Liang Jie Shao Rex Ying 37 10 0 17 Jun 2024
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces Jinhyeok Choi Heehyeon Kim Minhyeong An Joyce Jiyoung Whang Mamba 24 1 0 17 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 57 2 0 03 Jun 2024
SmoothGNN: Smoothing-based GNN for Unsupervised Node Anomaly Detection Xiangyu Dong Xing Zhang Yanni Sun Lei Chen Mingxuan Yuan Sibo Wang 32 1 0 27 May 2024
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models Shuo Liu Di Yao Lanting Fang Zhetao Li Wenbin Li Kaiyu Feng XiaoWen Ji Jingping Bi 43 0 0 13 May 2024
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges ZhengZhao Feng Rui Wang TianXing Wang Mingli Song Sai Wu Shuibing He AI4CE 32 10 0 01 May 2024
A survey of dynamic graph neural networks Yanping Zheng Lu Yi Zhewei Wei AI4TS AI4CE 27 7 0 28 Apr 2024
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods Xiangfei Qiu Jilin Hu Lekui Zhou Xingjian Wu Junyang Du ... Chenjuan Guo Aoying Zhou Christian S. Jensen Zhenli Sheng Bin Yang AI4TS 57 63 0 29 Mar 2024
Temporal Graph Networks for Graph Anomaly Detection in Financial Networks Yejin Kim Youngbin Lee Minyoung Choe Sungju Oh Yongjae Lee 16 2 0 27 Mar 2024
Anomaly Detection Based on Isolation Mechanisms: A Survey Yang Cao Haolong Xiang Hang Zhang Ye Zhu Kai Ming Ting OOD 46 2 0 16 Mar 2024
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation Neng Kai Nigel Neo Yeon-Chang Lee Yiqiao Jin Sang-Wook Kim Srijan Kumar 41 4 0 25 Feb 2024
Generative Semi-supervised Graph Anomaly Detection Hezhe Qiao Qingsong Wen Xiaoli Li Ee-Peng Lim Guansong Pang 45 7 0 19 Feb 2024
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph Linfeng Cao Haoran Deng Yang Yang Chunping Wang Lei Chen 31 9 0 14 Feb 2024
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models Kay Liu Hengrui Zhang Ziqing Hu Fangxin Wang Philip S. Yu 32 3 0 29 Dec 2023
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 48 12 0 21 Dec 2023
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis Abhinav Nippani Dongyue Li Haotian Ju Haris N. Koutsopoulos Hongyang R. Zhang GNN 49 6 0 31 Oct 2023
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks Qian Huang Jiawei Jiang Xi Rao Ce Zhang Zhichao Han ... Quanqing Xu Yang Zhao Chuang Hu Shuo Shang Bo Du 25 8 0 31 Aug 2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding Xiangshan Chen Yongxiang Liao Yun Xiong Yao Zhang Si-Yuan Zhang Jiawei Zhang Yiheng Sun 23 6 0 27 Aug 2023
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection Jie Liu Mengting He Xuequn Shang Jieming Shi Tengjiao Wang Hongzhi Yin 24 9 0 28 Jul 2023
Temporal Graph Benchmark for Machine Learning on Temporal Graphs Shenyang Huang Farimah Poursafaei Jacob Danovitch Matthias Fey Weihua Hu Emanuele Rossi J. Leskovec Michael M. Bronstein Guillaume Rabusseau Reihaneh Rabbany 32 83 0 03 Jul 2023
Anomaly Detection in Networks via Score-Based Generative Models Dmitrii Gavrilev Evgeny Burnaev 22 3 0 27 Jun 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection Jianheng Tang Fengrui Hua Zi-Chao Gao P. Zhao Jia Li 25 55 0 21 Jun 2023
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network F. Liu Siqi Lai Yansong Ning Hao Liu AAML FedML 29 3 0 17 Jun 2023
Graph Propagation Transformer for Graph Representation Learning Zhe Chen Hao Hao Tan Tao Wang Tianrun Shen Tong Lu Qiuying Peng Cheng Cheng Yue Qi 32 11 0 19 May 2023
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk Jiafu Wu Mufeng Yao Dong Wu M. Chi Baokun Wang Ruofan Wu Xin Fu Changhua Meng Weiqiang Wang 16 3 0 06 Mar 2023
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 27 5 0 17 Dec 2022
Fraudulent User Detection Via Behavior Information Aggregation Network (BIAN) On Large-Scale Financial Social Network Hanyi Hu Long Zhang Shuang Li Zhi Liu Yao Yang Chongning Na 21 0 0 04 Nov 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu Yingtong Dou Yue Zhao Xueying Ding Xiyang Hu ... Lichao Sun Jundong Li George H. Chen Zhihao Jia Philip S. Yu OOD 23 90 0 21 Jun 2022
PyGOD: A Python Library for Graph Outlier Detection Kay Liu Yingtong Dou Xueying Ding Xiyang Hu Ruitong Zhang Hao Peng Kai Shu Philip S. Yu AI4TS 24 50 0 26 Apr 2022