A Review on Graph Neural Network Methods in Financial Applications

27 November 2021

Papers citing "A Review on Graph Neural Network Methods in Financial Applications"

46 / 46 papers shown

Title
QuantBench: Benchmarking AI Methods for Quantitative Investment Saizhuo Wang Hao Kong Jiadong Guo Fengrui Hua Yiyan Qi Wanyun Zhou Jiahao Zheng Xinyu Wang Lionel M. Ni Jian Guo 144 1 0 24 Apr 2025
From Deep Learning to LLMs: A survey of AI in Quantitative Investment Bokai Cao Saizhuo Wang Xinyi Lin Xiaojun Wu Haohan Zhang L. Ni Jian Guo AIFin 54 0 0 27 Mar 2025
Structural Alignment Improves Graph Test-Time Adaptation Hans Hao-Hsun Hsu Shikun Liu Han Zhao Pan Li OOD TTA 58 0 0 25 Feb 2025
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy Ruizhan Xue Huimin Deng Fang He Maojun Wang Zeyu Zhang 68 1 0 12 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 85 19 0 28 Jan 2025
Natural Language Counterfactual Explanations for Graphs Using Large Language Models Flavio Giorgi Cesare Campagnano Fabrizio Silvestri Gabriele Tolomei LRM 41 1 0 28 Jan 2025
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach Yinhan He Wendy Zheng Yaochen Zhu Jing Ma Saumitra Mishra Natraj Raman Ninghao Liu Jundong Li 28 0 0 25 Oct 2024
Stabilizing the Kumaraswamy Distribution Max Wasserman Gonzalo Mateos BDL 44 0 0 01 Oct 2024
Computing Systemic Risk Measures with Graph Neural Networks Lukas Gonon Thilo Meyer-Brandis Niklas Weber 23 1 0 30 Sep 2024
Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks? Zhongjian Zhang Xiao Wang Huichi Zhou Yue Yu Mengmei Zhang Cheng Yang Chuan Shi AAML 29 7 0 16 Aug 2024
SETN: Stock Embedding Enhanced with Textual and Network Information Takehiro Takayanagi Hiroki Sakaji Kiyoshi Izumi AIFin 30 2 0 06 Aug 2024
GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications Oisín M. Morrison F. Pichi J. Hesthaven AI4CE 31 1 0 05 Jun 2024
GraphPub: Generation of Differential Privacy Graph with High Availability Wanghan Xu Bin Shi Ao Liu Jiqiang Zhang Bo Dong 30 2 0 28 Feb 2024
Graph Feature Preprocessor: Real-time Extraction of Subgraph-based Features from Transaction Graphs Jovan Blanusa Maximo Cravero Baraja Andreea Anghel Luc von Niederhäusern Erik Altman Haris Pozidis Kubilay Atasu 148 0 0 13 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 42 5 0 09 Feb 2024
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction Sahab Zandi Kamesh Korangi María Óskarsdóttir Christophe Mues Cristián Bravo 14 5 0 01 Feb 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks Moshe Eliasof E. Haber Eran Treister Carola-Bibiane Schönlieb AI4CE 27 2 0 20 Jan 2024
Generative Explanations for Graph Neural Network: Methods and Evaluations Jialin Chen Kenza Amara Junchi Yu Rex Ying 39 3 0 09 Nov 2023
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation Kaiqi Yang Haoyu Han Wei-dong Jin Hui Liu 19 2 0 20 Oct 2023
Graph Neural Network-based EEG Classification: A Survey D. Klepl Min Wu F. He 43 21 0 03 Oct 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 26 10 0 31 Aug 2023
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey Liping Wang Jiawei Li Lifan Zhao Zhizhuo Kou Xiaohan Wang Xinyi Zhu Hao Wang Yanyan Shen Lei Chen AIFin 19 8 0 09 Aug 2023
Anomaly Detection in Global Financial Markets with Graph Neural Networks and Nonextensive Entropy Kleyton da Costa 14 0 0 05 Aug 2023
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs Ahmad Naser Eddin Jacopo Bono David Oliveira Aparício Hugo Ferreira João Tiago Ascensão Pedro Ribeiro P. Bizarro 33 2 0 17 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon C. Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 41 143 0 07 Jul 2023
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models Erik Altman Jovan Blanuvsa Luc von Niederhäusern Béni Egressy Andreea Anghel Kubilay Atasu 42 37 0 22 Jun 2023
Graph Neural Network for spatiotemporal data: methods and applications Yun-Qing Li Dazhou Yu Zhenke Liu Minxing Zhang Xi Gong Liang Zhao AI4TS AI4CE 26 10 0 30 May 2023
E2EAI: End-to-End Deep Learning Framework for Active Investing Zikai Wei Bo Dai Dahua Lin AI4TS 19 4 0 25 May 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 22 6 0 25 May 2023
Unstructured and structured data: Can we have the best of both worlds with large language models? W. Tan 18 1 0 25 Apr 2023
Graph Neural Networks for Text Classification: A Survey Kunze Wang Yihao Ding S. Han FaML GNN 21 25 0 23 Apr 2023
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees Sina Sajadmanesh D. Gática-Pérez 19 15 0 18 Apr 2023
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter Vanessa Cai Pradeep Prabakar Manuel Serrano Rebuelta Lucas Rosen Federico Monti ... Tomo Lazovich J. Raj Y. Shrinivasan Hao Li Thomas Markovich 24 0 0 27 Feb 2023
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 24 14 0 28 Jan 2023
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal K. Liang Lingyuan Meng Meng Liu Yue Liu Wenxuan Tu Siwei Wang Sihang Zhou Xinwang Liu Fu Sun LRM 26 107 0 12 Dec 2022
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling Y. Xu Kriton Konstantinidis Danilo P. Mandic 19 1 0 26 Oct 2022
Factor Investing with a Deep Multi-Factor Model Zikai Wei Bo Dai Dahua Lin AIFin 16 4 0 22 Oct 2022
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Shaohua Fan Xiao Wang Yanhu Mo Chuan Shi Jian Tang CML OOD AI4CE 33 89 0 28 Sep 2022
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model Yirui Liu Xinghao Qiao Liying Wang Jessica Lam BDL 25 3 0 12 Aug 2022
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders Jintang Li Ruofan Wu Wangbin Sun Liang Chen Sheng Tian Liang Zhu Changhua Meng Zibin Zheng Weiqiang Wang SSL 24 79 0 20 May 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 29 131 0 18 Apr 2022
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation Sina Sajadmanesh Ali Shahin Shamsabadi A. Bellet D. Gática-Pérez 22 63 0 02 Mar 2022
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs Yixuan He Xitong Zhang Junjie Huang Benedek Rozemberczki Mihai Cucuringu G. Reinert 24 14 0 22 Feb 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks Jing Xu Rui Wang Stefanos Koffas K. Liang S. Picek FedML AAML 31 25 0 07 Feb 2022
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings Krzysztof Sadowski Michal Szarmach Eddie Mattia 12 5 0 01 Feb 2022
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis Daiki Matsunaga Toyotaro Suzumura Toshihiro Takahashi AIFin 35 82 0 24 Sep 2019