Cover Image

Rethinking Cancer Gene Identification through Graph Anomaly Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zang, Yilong, Ren, Lingfei, Li, Yue, Wang, Zhikang, Selby, David Antony, Wang, Zheng, Vollmer, Sebastian Josef, Yin, Hongzhi, Song, Jiangning, Wu, Junhang
Format:	Preprint
Published:	2024
Subjects:	Computational Engineering, Finance, and Science Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples)
by: Sun, Siyi, et al.
Published: (2025)

MEDAKA: Construction of Biomedical Knowledge Graphs Using Large Language Models
by: Sengupta, Asmita, et al.
Published: (2025)

Reinforcement Learning for Jump‐Diffusions, With Financial Applications
by: Xuefeng Gao, et al.
Published: (2026)

Markov Chain Approximation of One-Dimensional Sticky Diffusions
by: Meier, Christian, et al.
Published: (2019)

A Contribution to the Empirics of Economic and Human Development
by: Vollmer, Sebastian
Published: (2019)

Efficient Traffic Prediction Through Spatio-Temporal Distillation
by: Zhang, Qianru, et al.
Published: (2025)

Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis
by: Ock, Janghoon, et al.
Published: (2024)

Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences
by: Heller, Selina, et al.
Published: (2025)

Stochastic Path-Dependent Volatility Models for Price-Storage Dynamics in Natural Gas Markets and Discrete-Time Swing Option Pricing
by: Qiu, Jinniao, et al.
Published: (2024)

Temporal Graph Networks for Graph Anomaly Detection in Financial Networks
by: Kim, Yejin, et al.
Published: (2024)

Anomaly Time
by: BOONE BOWLES, et al.
Published: (2024)

Reinforcement Learning for Jump-Diffusions, with Financial Applications
by: Gao, Xuefeng, et al.
Published: (2024)

KnowTD-An Actionable Knowledge Representation System for Thermodynamics
by: Vollmer, Luisa, et al.
Published: (2024)

Kolmogorov-Arnold Network for Gene Regulatory Network Inference
by: Tong, Tsz Pan, et al.
Published: (2025)

Skewness Dispersion and Stock Market Returns
by: Babiak, Mykola, et al.
Published: (2026)

Identification of cardiovascular diseases through ECG classification using wavelet transformation
by: Maleki, Morteza, et al.
Published: (2024)

Targeted Poverty Alleviation and Analyst Attention
by: Hui Wang, et al.
Published: (2026)

Anomaly prediction in XRP price with topological features
by: Donhauzer, Illia, et al.
Published: (2026)

Alleviating Non-identifiability: a High-fidelity Calibration Objective for Financial Market Simulation with Multivariate Time Series Data
by: Wang, Chenkai, et al.
Published: (2024)

Risks of heterogeneously persistent higher moments
by: Barunik, Jozef, et al.
Published: (2021)

Multiagent Reinforcement Learning Enhanced Decision-making of Crew Agents During Floor Construction Process
by: Yang, Bin, et al.
Published: (2024)

AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model
by: Wang, Lening, et al.
Published: (2023)

Bayesian FFT Modal Identification for Multi-setup Experimental Modal Analysis
by: Wang, Peixiang, et al.
Published: (2024)

A Physics-Aware Variational Graph Autoencoder for Joint Modal Identification with Uncertainty Quantification
by: Nath, Bhargav, et al.
Published: (2026)

Graph Signal Processing for Global Stock Market Realized Volatility Forecasting
by: Chi, Zhengyang, et al.
Published: (2024)

Mamba Outpaces Reformer in Stock Prediction with Sentiments from Top Ten LLMs
by: Kadiyala, Lokesh Antony, et al.
Published: (2025)

CFOs With Audit Firm Working Experience and Corporate Risk‐Taking
by: Yue Luo, et al.
Published: (2025)

Quantization of Probability Distributions via Divide-and-Conquer: Convergence and Error Propagation under Distributional Arithmetic Operations
by: Bilgin, Bilgesu Arif, et al.
Published: (2025)

An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding
by: Liu, Pengwei, et al.
Published: (2025)

IPO Breaking Anomaly in China: A Prospectus‐Based Textual Analysis
by: Xundi Diao, et al.
Published: (2025)

A hydro-geomechanical porous-media model to study effects of engineered carbonate precipitation in faults
by: Wang, Yue, et al.
Published: (2025)

Identification of fraudulent financial statements through a multi‐label classification approach
by: Maria Tragouda, et al.
Published: (2024)

On-device Anomaly Detection in Conveyor Belt Operations
by: Martinez-Rau, Luciano S., et al.
Published: (2024)

Distributional Computational Graphs: Error Bounds
by: Elias, Olof Hallqvist, et al.
Published: (2026)

A Validated Volatility-Volume-Gap Classifier for Regime Identification in MNQ Intraday Data
by: Mesfin, Mathias
Published: (2026)

Detecting data-driven robust statistical arbitrage strategies with deep neural networks
by: Neufeld, Ariel, et al.
Published: (2022)

SpotV2Net: Multivariate Intraday Spot Volatility Forecasting via Vol-of-Vol-Informed Graph Attention Networks
by: Brini, Alessio, et al.
Published: (2024)

Using Large Language Models for Solving Thermodynamic Problems
by: Loubet, Rebecca, et al.
Published: (2025)

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining
by: Wei, Junhao, et al.
Published: (2026)

Option pricing model under the G-expectation framework
by: Pei, Ziting, et al.
Published: (2026)