:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cheng, Enhao, Zhang, Shoujia, Yin, Jianhua, Jin, Li, Nie, Liqiang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2507.13765
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Enhanced Model-based Approach for Short Text Clustering
by: Cheng, Enhao, et al.
Published: (2025)

Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning
by: Liu, Yunhui, et al.
Published: (2024)

UMAP Is Spectral Clustering on the Fuzzy Nearest-Neighbor Graph
by: Yang, Yang
Published: (2026)

Clustering with Uniformity- and Neighbor-Based Random Geometric Graphs
by: Shi, Rui, et al.
Published: (2025)

Reliable Node Similarity Matrix Guided Contrastive Graph Clustering
by: Liu, Yunhui, et al.
Published: (2024)

Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping
by: Yuan, Jinghui, et al.
Published: (2024)

Dual Boost-Driven Graph-Level Clustering Network
by: Smith, John, et al.
Published: (2025)

RoleMAG: Learning Neighbor Roles in Multimodal Graphs
by: Zuo, Yilong, et al.
Published: (2026)

Nearest Neighbor Multivariate Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)

Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering
by: Xie, Fangyuan, et al.
Published: (2025)

Towards Robust Graph Structural Learning Beyond Homophily via Preserving Neighbor Similarity
by: Zhu, Yulin, et al.
Published: (2024)

Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
by: Liu, Bowen, et al.
Published: (2024)

Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering
by: Liu, Yunhui, et al.
Published: (2024)

From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
by: Wang, Zheng, et al.
Published: (2023)

A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions
by: Li, Junfan, et al.
Published: (2025)

NeighborDiv: Training-free Zero-shot Generalist Graph Anomaly Detection via Neighbor Diversity
by: Wei, Kaifeng, et al.
Published: (2026)

SPINEX-Clustering: Similarity-based Predictions with Explainable Neighbors Exploration for Clustering Problems
by: Naser, MZ, et al.
Published: (2024)

IOCC: Aligning Semantic and Cluster Centers for Few-shot Short Text Clustering
by: Yin, Jixuan, et al.
Published: (2025)

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
by: Qiu, Haomiao, et al.
Published: (2025)

Neighbor Overlay-Induced Graph Attention Network
by: Wei, Tiqiao, et al.
Published: (2024)

Self-Supervised Graph Embedding Clustering
by: Li, Fangfang, et al.
Published: (2024)

Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
by: Zheng, Haoran, et al.
Published: (2025)

Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering
by: Wen, Zichen, et al.
Published: (2024)

Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression
by: Jiang, Jiarui, et al.
Published: (2025)

Boost Post-Training Quantization via Null Space Optimization for Large Language Models
by: Zhao, Jiaqi, et al.
Published: (2025)

PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search
by: Yu, Shangdi, et al.
Published: (2023)

Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning
by: Li, Zhishuai, et al.
Published: (2024)

All-around Neural Collapse for Imbalanced Classification
by: Zhang, Enhao, et al.
Published: (2024)

Learning Counterfactual Distributions via Kernel Nearest Neighbors
by: Choi, Kyuseong, et al.
Published: (2024)

DANCE: Dynamic, Available, Neighbor-gated Condensation for Federated Text-Attributed Graphs
by: Chen, Zekai, et al.
Published: (2026)

Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
by: Lu, Jielong, et al.
Published: (2025)

Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention
by: Huang, Siyuan, et al.
Published: (2024)

Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
by: Lv, Qi, et al.
Published: (2025)

Evaluating Neighbor Explainability for Graph Neural Networks
by: Llorente, Oscar, et al.
Published: (2023)

EmbedOR: Provable Cluster-Preserving Visualizations with Curvature-Based Stochastic Neighbor Embeddings
by: Saidi, Tristan Luca, et al.
Published: (2025)

Towards Scalable and Structured Spatiotemporal Forecasting
by: Chen, Hongyi, et al.
Published: (2025)

Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference
by: Liu, Yunhui, et al.
Published: (2024)

Similarity-based Neighbor Selection for Graph LLMs
by: Li, Rui, et al.
Published: (2024)

Neighboring State-based Exploration for Reinforcement Learning
by: Li, Yu-Teng, et al.
Published: (2022)

S$^2$Transformer: Scalable Structured Transformers for Global Station Weather Forecasting
by: Chen, Hongyi, et al.
Published: (2025)