Cover Image

Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Minakawa, Naoto, Izumi, Kiyoshi, Sakaji, Hiroki
Format:	Preprint
Published:	2024
Subjects:	Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SSAAM: Sentiment Signal-based Asset Allocation Method with Causality Information
by: Taguchi, Rei, et al.
Published: (2024)

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
by: Wang, Meiyun, et al.
Published: (2024)

SETN: Stock Embedding Enhanced with Textual and Network Information
by: Takayanagi, Takehiro, et al.
Published: (2024)

Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language Models
by: Wang, Meiyun, et al.
Published: (2024)

International Trade Flow Prediction with Bilateral Trade Provisions
by: Pan, Zijie, et al.
Published: (2024)

Economy Watchers Survey Provides Datasets and Tasks for Japanese Financial Domain
by: Suzuki, Masahiro, et al.
Published: (2024)

JaFIn: Japanese Financial Instruction Dataset
by: Tanabe, Kota, et al.
Published: (2024)

Agent-Based Simulation of a Financial Market with Large Language Models
by: Hashimoto, Ryuji, et al.
Published: (2025)

Beyond Turing Test: Can GPT-4 Sway Experts' Decisions?
by: Takayanagi, Takehiro, et al.
Published: (2024)

AutoRedTrader: Autonomous Red Teaming of Trading Agents through Synthetic Misinformation Injection
by: Liu, Zhiwei, et al.
Published: (2026)

Detecting Information Channels in Congressional Trading via Temporal Graph Learning
by: Roodman, Benjamin Pham, et al.
Published: (2026)

Limeade: Let integer molecular encoding aid
by: Zhang, Shiqiang, et al.
Published: (2024)

Evaluating Transit Accessibility to Education and Effects of Operational Delays in Japanese Regional Cities: A Case Study of Matsumoto City
by: Sato, Itsuki, et al.
Published: (2026)

Explainable AutoML (xAutoML) with adaptive modeling for yield enhancement in semiconductor smart manufacturing
by: Zhai, Weihong, et al.
Published: (2024)

Parameters Optimization of Pair Trading Algorithm
by: Barthelemy, Charles, et al.
Published: (2024)

A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers
by: Stein, Alex, et al.
Published: (2024)

Numin: Weighted-Majority Ensembles for Intraday Trading
by: Mukherjee, Aniruddha, et al.
Published: (2024)

S$^{3}$G: Stock State Space Graph for Enhanced Stock Trend Prediction
by: Lu, Yao, et al.
Published: (2026)

GrifFinNet: A Graph-Relation Integrated Transformer for Financial Predictions
by: Dai, Chenlanhui, et al.
Published: (2025)

Amalgamation of Physics-Informed Neural Network and LBM for the Prediction of Unsteady Fluid Flows in Fractal-Rough Microchannels
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)

Auto-Regressive Model with Exogenous Input--ARX--based traffic-flow prediction
by: Ying, Jun, et al.
Published: (2024)

PLUTUS Open Source -- Breaking Barriers in Algorithmic Trading
by: Nguyen, An-Dan, et al.
Published: (2025)

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction
by: Hu, Yifan, et al.
Published: (2025)

ReCoG: Relational and Compact Context Graph Learning for Few-shot Molecular Property Prediction
by: Wang, Zeyu, et al.
Published: (2026)

FlowHFT: Imitation Learning via Flow Matching Policy for Optimal High-Frequency Trading under Diverse Market Conditions
by: Li, Yang, et al.
Published: (2025)

A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
by: Gregnanin, Marco, et al.
Published: (2026)

Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
by: Zhu, Zhuohang, et al.
Published: (2025)

Modal-adaptive Knowledge-enhanced Graph-based Financial Prediction from Monetary Policy Conference Calls with LLM
by: Ouyang, Kun, et al.
Published: (2024)

The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem
by: Gregnanin, Marco, et al.
Published: (2026)

Can Large Language Models Effectively Process and Execute Financial Trading Instructions?
by: Kang, Yu, et al.
Published: (2024)

QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading
by: Xiong, Fei, et al.
Published: (2025)

Graph Neural Network Approach to Predict the Effects of Road Capacity Reduction Policies: A Case Study for Paris, France
by: Natterer, Elena, et al.
Published: (2024)

D-Flow: Multi-modality Flow Matching for D-peptide Design
by: Wu, Fang, et al.
Published: (2024)

From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset
by: Arno, Henri, et al.
Published: (2024)

A quantum algorithm for the Kalman filter using block encoding
by: Shi, Hao, et al.
Published: (2024)

Improving Deep Reinforcement Learning Agent Trading Performance in Forex using Auxiliary Task
by: Arabha, Sahar, et al.
Published: (2024)

Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions
by: Liu, Yen-Ku, et al.
Published: (2025)

A Blockchain-as-a-Service Solution for TAFES-Compliant Verification of Fair Trade Certifications
by: Dahmani, Nadia, et al.
Published: (2026)

Chain-of-Alpha: Unleashing the Power of Large Language Models for Alpha Mining in Quantitative Trading
by: Cao, Lang
Published: (2025)

Toward Black Scholes for Prediction Markets: A Unified Kernel and Market Maker's Handbook
by: Dalen, Shaw
Published: (2025)