{"total":51,"rows":[{"id":"2310.10196","title":"Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook","created":"2023-10-16","cited_by_count":110,"area":null},{"id":"2111.15367","title":"A Review on Graph Neural Network Methods in Financial Applications","created":"2021-11-27","cited_by_count":78,"area":null},{"id":"2405.14767","title":"FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models","created":"2024-05-23","cited_by_count":40,"area":"agents"},{"id":"2103.16196","title":"AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment","created":"2021-03-30","cited_by_count":32,"area":null},{"id":"2106.02533","title":"Graph-based Deep Learning for Communication Networks: A Survey","created":"2021-06-04","cited_by_count":21,"area":null},{"id":"2305.04811","title":"Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022","created":"2023-04-21","cited_by_count":17,"area":null},{"id":"2308.01915","title":"LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study","created":"2023-07-05","cited_by_count":9,"area":null},{"id":"2401.01846","title":"DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction","created":"2024-01-03","cited_by_count":8,"area":null},{"id":"2301.04020","title":"Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence","created":"2022-12-13","cited_by_count":6,"area":null},{"id":"2312.16581","title":"Continuous-time Autoencoders for Regular and Irregular Time Series Imputation","created":"2023-12-27","cited_by_count":6,"area":null},{"id":"2409.05698","title":"MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction","created":"2024-09-09","cited_by_count":6,"area":null},{"id":"2410.10614","title":"Modeling News Interactions and Influence for Financial Market Prediction","created":"2024-10-14","cited_by_count":6,"area":null},{"id":"2202.02723","title":"Portfolio Optimization on NIFTY Thematic Sector Stocks Using an LSTM Model","created":"2022-02-06","cited_by_count":5,"area":null},{"id":"2305.16364","title":"E2EAI: End-to-End Deep Learning Framework for Active Investing","created":"2023-05-25","cited_by_count":4,"area":null},{"id":"2608.01857","title":"Beyond Magnitude and Shape: A Direction-Aware Loss for Time Series Forecasting","created":"2026-08-03","cited_by_count":4,"area":null},{"id":"2103.11824","title":"Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools","created":"2021-03-18","cited_by_count":3,"area":null},{"id":"2107.14033","title":"Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction","created":"2021-07-22","cited_by_count":3,"area":null},{"id":"2211.08281","title":"Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models","created":"2022-10-06","cited_by_count":3,"area":null},{"id":"2308.04947","title":"Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey","created":"2023-08-09","cited_by_count":3,"area":null},{"id":"2110.12062","title":"DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy","created":"2021-10-22","cited_by_count":2,"area":null},{"id":"2210.12462","title":"Factor Investing with a Deep Multi-Factor Model","created":"2022-10-22","cited_by_count":2,"area":null},{"id":"2411.06391","title":"CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction","created":"2024-11-10","cited_by_count":2,"area":null},{"id":"2504.18600","title":"QuantBench: Benchmarking AI Methods for Quantitative Investment","created":"2025-04-24","cited_by_count":2,"area":null},{"id":"2207.10071","title":"DDPG based on multi-scale strokes for financial time series trading strategy","created":"2022-06-05","cited_by_count":1,"area":null},{"id":"2312.01734","title":"Effective Adapter for Face Recognition in the Wild","created":"2023-12-04","cited_by_count":1,"area":null},{"id":"2401.03097","title":"Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification","created":"2024-01-06","cited_by_count":1,"area":null},{"id":"2510.03633","title":"Predicting Stock Price Movement with LLM-Enhanced Tweet Emotion Analysis","created":"2025-10-04","cited_by_count":1,"area":null},{"id":"2512.15113","title":"Adaptive Weighted Genetic Algorithm-Optimized SVR for Robust Long-Term Forecasting of Global Stock Indices for investment decisions","created":"2025-12-17","cited_by_count":1,"area":null},{"id":"2609.12793","title":"VertiFuseX: Generalizable Financial Forecasting via Multi-Stream Temporal Fusion","created":"2026-09-11","cited_by_count":1,"area":null},{"id":"2609.14733","title":"WaVeFuse: Regime-Adaptive Equity Index Forecasting via Channel-Wise Wavelet Denoising and Vertical Attention Fusion","created":"2026-09-13","cited_by_count":1,"area":null},{"id":"2101.02287","title":"COVID19-HPSMP: COVID-19 Adopted Hybrid and Parallel Deep Information Fusion Framework for Stock Price Movement Prediction","created":"2021-01-02","cited_by_count":0,"area":null},{"id":"2107.02517","title":"An Evaluation of Machine Learning and Deep Learning Models for Drought Prediction using Weather Data","created":"2021-07-06","cited_by_count":0,"area":null},{"id":"2109.15045","title":"Stock Index Prediction using Cointegration test and Quantile Loss","created":"2021-09-29","cited_by_count":0,"area":null},{"id":"2204.05979","title":"Discovering material information using hierarchical Reformer model on financial regulatory filings","created":"2022-03-28","cited_by_count":0,"area":null},{"id":"2205.06673","title":"Univariate and Multivariate LSTM Model for Short-Term Stock Market Prediction","created":"2022-05-08","cited_by_count":0,"area":null},{"id":"2206.12528","title":"Predicting Stock Price Movement after Disclosure of Corporate Annual Reports: A Case Study of 2021 China CSI 300 Stocks","created":"2022-06-25","cited_by_count":0,"area":null},{"id":"2210.15925","title":"Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs","created":"2022-10-28","cited_by_count":0,"area":null},{"id":"2212.14477","title":"A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management","created":"2022-12-29","cited_by_count":0,"area":null},{"id":"2303.09323","title":"Stock Trend Prediction: A Semantic Segmentation Approach","created":"2023-03-09","cited_by_count":0,"area":null},{"id":"2305.10693","title":"Gated Deeper Models are Effective Factor Learners","created":"2023-05-18","cited_by_count":0,"area":null},{"id":"2307.09377","title":"Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading","created":"2023-07-18","cited_by_count":0,"area":null},{"id":"2311.10719","title":"Analysis of frequent trading effects of various machine learning models","created":"2023-09-14","cited_by_count":0,"area":null},{"id":"2402.10760","title":"RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval Construction","created":"2024-02-16","cited_by_count":0,"area":null},{"id":"2404.08935","title":"Developing An Attention-Based Ensemble Learning Framework for Financial Portfolio Optimisation","created":"2024-04-13","cited_by_count":0,"area":null},{"id":"2408.00652","title":"Enhancing Multistep Prediction of Multivariate Market Indices Using Weighted Optical Reservoir Computing","created":"2024-08-01","cited_by_count":0,"area":null},{"id":"2411.18997","title":"GRU-PFG: Extract Inter-Stock Correlation from Stock Factors with Graph Neural Network","created":"2024-11-28","cited_by_count":0,"area":null},{"id":"2503.01591","title":"The Role of Deep Learning in Financial Asset Management: A Systematic Review","created":"2025-03-03","cited_by_count":0,"area":null},{"id":"2504.14050","title":"MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications","created":"2025-04-18","cited_by_count":0,"area":null},{"id":"2505.01781","title":"Enhancing Black-Litterman Portfolio via Hybrid Forecasting Model Combining Multivariate Decomposition and Noise Reduction","created":"2025-05-03","cited_by_count":0,"area":null},{"id":"2506.13981","title":"HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting","created":"2025-06-09","cited_by_count":0,"area":null},{"id":"2507.08184","title":"EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification","created":"2025-07-10","cited_by_count":0,"area":null}],"next_cursor":null}