:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gu, Suhang, Wang, Ye, Chou, Yongxin, Cong, Jinliang, Lu, Mingli, Jiao, Zhuqing
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2504.05125
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
by: Niu, Yiming, et al.
Published: (2025)

PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting
by: Niu, Yiming, et al.
Published: (2025)

A Sugeno Integral View of Binarized Neural Network Inference
by: Baaj, Ismaïl, et al.
Published: (2026)

Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback
by: Xiao, Teng, et al.
Published: (2024)

Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks
by: Wang, Yuwen, et al.
Published: (2024)

Deep Clustering Survival Machines with Interpretable Expert Distributions
by: Hou, Bojian, et al.
Published: (2023)

Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection
by: Zhang, Yiqun, et al.
Published: (2026)

ADNF-Clustering: An Adaptive and Dynamic Neuro-Fuzzy Clustering for Leukemia Prediction
by: Aruta, Marco, et al.
Published: (2025)

PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
by: Dai, Enyan, et al.
Published: (2024)

RTMC: Step-Level Credit Assignment via Rollout Trees
by: Wang, Tao, et al.
Published: (2026)

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
by: Wang, Yilong, et al.
Published: (2025)

A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
by: Qing, Yunpeng, et al.
Published: (2024)

Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games
by: Lin, Chiu-Chou, et al.
Published: (2024)

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

Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models
by: Li, Quan, et al.
Published: (2024)

Shape-aware Graph Spectral Learning
by: Xu, Junjie, et al.
Published: (2023)

Curriculum Negative Mining For Temporal Networks
by: Chen, Ziyue, et al.
Published: (2024)

Fuzzy Rough Sets Based on Fuzzy Quantification
by: Theerens, Adnan, et al.
Published: (2022)

FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning
by: Wang, Xinpeng, et al.
Published: (2024)

Learning Fair Models without Sensitive Attributes: A Generative Approach
by: Zhu, Huaisheng, et al.
Published: (2022)

eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules
by: Sun, Ye, et al.
Published: (2024)

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules
by: Xu, Junjie, et al.
Published: (2025)

Interpreting Affine Recurrence Learning in GPT-style Transformers
by: Bhargav, Samarth, et al.
Published: (2024)

Clustering with Communication: A Variational Framework for Single Cell Representation Learning
by: Qi, Cong, et al.
Published: (2025)

COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
by: Wang, Yu, et al.
Published: (2024)

LLM Benchmark Datasets Should Be Contamination-Resistant
by: Al-Lawati, Ali, et al.
Published: (2026)

Select Smarter, Not More: Prompt-Aware Evaluation Scheduling with Submodular Guarantees
by: Ma, Xiaoyu, et al.
Published: (2026)

AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
by: Lyu, Tengfei, et al.
Published: (2024)

Unlearning Inversion Attacks for Graph Neural Networks
by: Zhang, Jiahao, et al.
Published: (2025)

Generative Fuzzy System for Sequence Generation
by: Yang, Hailong, et al.
Published: (2024)

S$^2$FS: Spatially-Aware Separability-Driven Feature Selection in Fuzzy Decision Systems
by: Xu, Suping, et al.
Published: (2025)

Fuzzy Rule-based Differentiable Representation Learning
by: Zhang, Wei, et al.
Published: (2025)

UNFIS: A Novel Neuro-Fuzzy Inference System with Unstructured Fuzzy Rules for Classification
by: Salimi-Badr, Armin
Published: (2022)

Divide-Verify-Refine: Can LLMs Self-Align with Complex Instructions?
by: Zhang, Xianren, et al.
Published: (2024)

QuantLRM: Quantization of Large Reasoning Models via Fine-Tuning Signals
by: Zhang, Nan, et al.
Published: (2026)

Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
by: Wang, Fali, et al.
Published: (2024)

Fuzzy-Pattern Tsetlin Machine
by: Hnilov, Artem
Published: (2025)

Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks
by: Xu, Feiyang, et al.
Published: (2024)

Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number
by: Ding, Chen-Lu, et al.
Published: (2024)

Faithful Interpretation for Graph Neural Networks
by: Hu, Lijie, et al.
Published: (2024)