:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jiang, Tianyi, Wang, Zeyu, Yu, Shanqing, Xuan, Qi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2504.05844
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
by: Wang, Zeyu, et al.
Published: (2024)

Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry
by: Wang, Zeyu, et al.
Published: (2024)

Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification
by: Chen, Xuanze, et al.
Published: (2024)

Subgraph Networks Based Contrastive Learning
by: Wang, Jinhuan, et al.
Published: (2023)

Mixture of Message Passing Experts with Routing Entropy Regularization for Node Classification
by: Chen, Xuanze, et al.
Published: (2025)

Few-shot Molecular Property Prediction: A Survey
by: Wang, Zeyu, et al.
Published: (2025)

CrossHGL: A Text-Free Foundation Model for Cross-Domain Heterogeneous Graph Learning
by: Chen, Xuanze, et al.
Published: (2026)

Dual-view Aware Smart Contract Vulnerability Detection for Ethereum
by: Yao, Jiacheng, et al.
Published: (2024)

Learning How Much to Think: Difficulty-Aware Dynamic MoEs for Graph Node Classification
by: Zhou, Jiajun, et al.
Published: (2026)

Topology-Aware Multiscale Mixture of Experts for Efficient Molecular Property Prediction
by: Nguyen, Long D., et al.
Published: (2026)

GoMS: Graph of Molecule Substructure Network for Molecule Property Prediction
by: Qu, Shuhui, et al.
Published: (2025)

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

Rethinking Graph Transformer Architecture Design for Node Classification
by: Zhou, Jiajun, et al.
Published: (2024)

Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision
by: Jin, Chenxiang, et al.
Published: (2024)

The Structural Scalpel: Automated Contiguous Layer Pruning for Large Language Models
by: Lu, Yao, et al.
Published: (2025)

Temporally Extended Mixture-of-Experts Models
by: Shen, Zeyu, et al.
Published: (2026)

Network Anomaly Traffic Detection via Multi-view Feature Fusion
by: Hao, Song, et al.
Published: (2024)

AttriLens-Mol: Attribute Guided Reinforcement Learning for Molecular Property Prediction with Large Language Models
by: Lin, Xuan, et al.
Published: (2025)

TestAgent: An Adaptive and Intelligent Expert for Human Assessment
by: Yu, Junhao, et al.
Published: (2025)

ControlMol: Adding Substructure Control To Molecule Diffusion Models
by: Zhengyang, Qi, et al.
Published: (2024)

Learning Hierarchical Interaction for Accurate Molecular Property Prediction
by: Hong, Huiyang, et al.
Published: (2025)

Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network
by: Yu, Shanqing, et al.
Published: (2024)

Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
by: Peng, Songtao, et al.
Published: (2025)

LoRALib: A Standardized Benchmark for Evaluating LoRA-MoE Methods
by: Wang, Shaoheng, et al.
Published: (2025)

Disentangling Causal Substructures for Interpretable and Generalizable Drug Synergy Prediction
by: Luo, Yi, et al.
Published: (2025)

T2S-MPC: Time-Embedded Online Adaptive Model Predictive Control for Time-Varying Dynamics
by: Shen, Zeyu, et al.
Published: (2026)

Clarify Confused Nodes via Separated Learning
by: Zhou, Jiajun, et al.
Published: (2023)

PathMLP: Smooth Path Towards High-order Homophily
by: Zhou, Jiajun, et al.
Published: (2023)

Multi-scale Graph Autoregressive Modeling: Molecular Property Prediction via Next Token Prediction
by: Jiang, Zhuoyang, et al.
Published: (2026)

Towards Adaptive Continual Model Merging via Manifold-Aware Expert Evolution
by: Qiu, Haiyun, et al.
Published: (2026)

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
by: Wang, Mao, et al.
Published: (2025)

Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
by: Li, Ziyue, et al.
Published: (2024)

Sculpting Molecules in Text-3D Space: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization
by: Zhang, Kaiwei, et al.
Published: (2024)

Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
by: Xu, Xinjie, et al.
Published: (2022)

RASA: Routing-Aware Safety Alignment for Mixture-of-Experts Models
by: Liang, Jiacheng, et al.
Published: (2026)

Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions?
by: Wang, Xiyuan, et al.
Published: (2025)

XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection
by: Yang, Yuanhang, et al.
Published: (2024)

DiSPA: Differential Substructure-Pathway Attention for Drug Response Prediction
by: Han, Yewon, et al.
Published: (2026)

Meta-Learning Linear Models for Molecular Property Prediction
by: Pimonova, Yulia, et al.
Published: (2025)

C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing
by: Li, Zhongyang, et al.
Published: (2025)