Cover Image

Comprehensive Metapath-based Heterogeneous Graph Transformer for Gene-Disease Association Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cui, Wentao, Li, Shoubo, Fang, Chen, Long, Qingqing, Wang, Chengrui, Wang, Xuezhi, Zhou, Yuanchun
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
by: Cai, Xinjun, et al.
Published: (2021)

HGCN(O): A Self-Tuning GCN HyperModel Toolkit for Outcome Prediction in Event-Sequence Data
by: Wang, Fang, et al.
Published: (2025)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)

One Router to Route Them All: Homogeneous Expert Routing for Heterogeneous Graph Transformers
by: Shakirov, Georgiy, et al.
Published: (2025)

Real-Time Pulsatile Flow Prediction for Realistic, Diverse Intracranial Aneurysm Morphologies using a Graph Transformer and Steady-Flow Data Augmentation
by: Sheng, Yiying, et al.
Published: (2026)

Explaining Temporal Graph Predictions With Shapley Values
by: Sussek, Lea-Marie, et al.
Published: (2026)

New Paradigm of Adversarial Training: Releasing Accuracy-Robustness Trade-Off via Dummy Class
by: Wang, Yanyun, et al.
Published: (2024)

Explainable Graph Representation Learning via Graph Pattern Analysis
by: Wang, Xudong, et al.
Published: (2025)

Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)

Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
by: Wang, Shaokuan, et al.
Published: (2026)

Transformer Scalability Crisis: The First Comprehensive Empirical Analysis of Performance Walls in Modern Language Models
by: Moghadasi, Mahdi Naser, et al.
Published: (2026)

DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics
by: Long, Yayu, et al.
Published: (2025)

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026)

Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers
by: Gray, Gavia, et al.
Published: (2024)

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints
by: Liu, Yingtian, et al.
Published: (2025)

QoSGMAA: A Robust Multi-Order Graph Attention and Adversarial Framework for Sparse QoS Prediction
by: Du, Guanchen, et al.
Published: (2025)

FluidWorld: Reaction-Diffusion Dynamics as a Predictive Substrate for World Models
by: Polly, Fabien
Published: (2026)

Empowering Graph Invariance Learning with Deep Spurious Infomax
by: Yao, Tianjun, et al.
Published: (2024)

Differentiable Model Predictive Safety for Heterogeneous Mobility at Urban Intersections
by: Song, Wenzhe, et al.
Published: (2026)

SRLAgent: Enhancing Self-Regulated Learning Skills through Gamification and LLM Assistance
by: Ge, Wentao, et al.
Published: (2025)

Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)

Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
by: Huang, Yunpeng, et al.
Published: (2023)

Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
by: Yao, Tianjun, et al.
Published: (2025)

Multi-Agent Pathfinding with Non-Unit Integer Edge Costs via Enhanced Conflict-Based Search and Graph Discretization
by: Fan, Hongkai, et al.
Published: (2026)

A Heterogeneous Long-Micro Scale Cascading Architecture for General Aviation Health Management
by: Chen, Xinhang, et al.
Published: (2026)

MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification
by: Yao, Tianjun, et al.
Published: (2024)

Aggregating Direct and Indirect Neighbors through Graph Linear Transformations
by: Rosenhoover, Marshall, et al.
Published: (2025)

Graph Spring Neural ODEs for Link Sign Prediction
by: Rehmann, Andrin, et al.
Published: (2024)

Weak Supervision for Real World Graphs
by: Nair, Pratheeksha, et al.
Published: (2025)

FastForward Pruning: Efficient LLM Pruning via Single-Step Reinforcement Learning
by: Yuan, Xin, et al.
Published: (2025)

A Parallel Hybrid Action Space Reinforcement Learning Model for Real-world Adaptive Traffic Signal Control
by: Wang, Yuxuan, et al.
Published: (2025)

Learning Transferable Predictability Representations
by: Goswami, Diyali, et al.
Published: (2026)

Fine-grained Attention in Hierarchical Transformers for Tabular Time-series
by: Azorin, Raphael, et al.
Published: (2024)

Graph Memory Transformer (GMT)
by: Zanarini, Nicola, et al.
Published: (2026)

TCRTransBench: A Comprehensive Benchmark for Bidirectional TCR-Peptide Sequence Generation
by: Wang, Yiming, et al.
Published: (2026)

Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness
by: Campi, Francesco, et al.
Published: (2023)

MotherNet: Fast Training and Inference via Hyper-Network Transformers
by: Müller, Andreas, et al.
Published: (2023)

Informed Priors for Knowledge Integration in Trajectory Prediction
by: Schlauch, Christian, et al.
Published: (2022)

ReLKD: Inter-Class Relation Learning with Knowledge Distillation for Generalized Category Discovery
by: Zhou, Fang, et al.
Published: (2025)

High-resolution closed-loop seismic inversion network in time-frequency phase mixed domain
by: Liu, Yingtian, et al.
Published: (2024)