:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zeng, Yujie, He, Wenlong, Vasyltsov, Ihor, Wei, Jiaxin, Zhang, Ying, Chen, Lin, Dai, Yuehua
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2502.12548
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
by: Zhang, Yuxiang, et al.
Published: (2026)

Multi-Dimensional Spectral Geometry of Biological Knowledge in Single-Cell Transformer Representations
by: Kendiukhov, Ihor
Published: (2026)

ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability
by: Chen, Hongjiang, et al.
Published: (2026)

Improving Molecular Force Fields with Minimal Temporal Information
by: Mollahosseini, Ali, et al.
Published: (2026)

Directed Link Prediction using GNN with Local and Global Feature Fusion
by: Zhang, Yuyang, et al.
Published: (2025)

GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks
by: Stepanov, Ihor, et al.
Published: (2024)

Enhancing Knowledge Graph Completion with GNN Distillation and Probabilistic Interaction Modeling
by: Wang, Lingzhi, et al.
Published: (2025)

Opir: Efficient Multi-Task Safety Classification for Toxicity, Jailbreaks, Hate Speech, and Harmful Content
by: Stepanov, Ihor, et al.
Published: (2026)

Learning Evolving Latent Strategies for Multi-Agent Language Systems without Model Fine-Tuning
by: Tang, Wenlong
Published: (2025)

CATS: Mitigating Correlation Shift for Multivariate Time Series Classification
by: Lin, Xiao, et al.
Published: (2025)

LiGNN: Graph Neural Networks at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)

GNN for Structural Displacement Prediction
by: Chang, Hung-Fu, et al.
Published: (2026)

A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction
by: Sung, Jinkyu, et al.
Published: (2026)

LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
by: Xu, Junjie, et al.
Published: (2024)

AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
by: Lu, Weigang, et al.
Published: (2024)

Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads
by: Wu, Zhoutong, et al.
Published: (2025)

Saliency-Aware Regularized Quantization Calibration for Large Language Models
by: Zhao, Yanlong, et al.
Published: (2026)

Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
by: Liao, Yi-Lun, et al.
Published: (2024)

LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges
by: Cheng, Xu, et al.
Published: (2025)

TangledFeatures: Robust Feature Selection in Highly Correlated Spaces
by: Sunny, Allen Daniel
Published: (2025)

Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors
by: Yang, Fan, et al.
Published: (2026)

Scalable Random Feature Latent Variable Models
by: Li, Ying, et al.
Published: (2024)

Diagnosing Spectral Ceilings in Equivariant Neural Force Fields
by: Kim, Hyunmog
Published: (2026)

Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning
by: He, Haoyuan, et al.
Published: (2022)

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction
by: Yu, Xi, et al.
Published: (2025)

Improving Node Representation by Boosting Target-Aware Contrastive Loss
by: Lin, Ying-Chun, et al.
Published: (2024)

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
by: Xu, Ruiyao, et al.
Published: (2026)

Understanding Expressivity of GNN in Rule Learning
by: Qiu, Haiquan, et al.
Published: (2023)

GNN-based Passenger Request Prediction
by: Makhdomi, Aqsa Ashraf, et al.
Published: (2023)

An Empirical Study of Realized GNN Expressiveness
by: Wang, Yanbo, et al.
Published: (2023)

SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation
by: Yan, Qi, et al.
Published: (2023)

StormNet: Improving storm surge predictions with a GNN-based spatio-temporal offset forecasting model
by: Nader, Noujoud, et al.
Published: (2026)

FADE: Towards Fairness-aware Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models
by: Lin, Yujie, et al.
Published: (2024)

SpikeSTAG: Spatial-Temporal Forecasting via GNN-SNN Collaboration
by: Hu, Bang, et al.
Published: (2025)

Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentation
by: Cui, Wei, et al.
Published: (2024)

Dimensional Balance Improves Large Scale Spatiotemporal Prediction Performance
by: Chen, Jing, et al.
Published: (2026)

DiRL: An Efficient Post-Training Framework for Diffusion Language Models
by: Zhu, Ying, et al.
Published: (2025)

RelGNN: Composite Message Passing for Relational Deep Learning
by: Chen, Tianlang, et al.
Published: (2025)

Probabilistic Stability Guarantees for Feature Attributions
by: Jin, Helen, et al.
Published: (2025)

PDNNet: PDN-Aware GNN-CNN Heterogeneous Network for Dynamic IR Drop Prediction
by: Zhao, Yuxiang, et al.
Published: (2024)