:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zou, Ziyun, Jiang, Yinghui, Shen, Lian, Liu, Juan, Liu, Xiangrong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2501.02969
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation
by: Shen, Lian, et al.
Published: (2025)

Heterophilic Graph Neural Networks Optimization with Causal Message-passing
by: Wang, Botao, et al.
Published: (2024)

Low-pass Personalized Subgraph Federated Recommendation
by: Sim, Wooseok, et al.
Published: (2026)

Aggregation-aware MLP: An Unsupervised Approach for Graph Message-passing
by: Xie, Xuanting, et al.
Published: (2025)

Fast, robust approximate message passing
by: Ivkov, Misha, et al.
Published: (2024)

DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction
by: Zhang, Xinwei, et al.
Published: (2024)

Single-pass Possibilistic Clustering with Damped Window Footprints
by: Dale, Jeffrey, et al.
Published: (2026)

Position: Message-passing and spectral GNNs are two sides of the same coin
by: Vasileiou, Antonis, et al.
Published: (2026)

PRISM: Performer RS-IMLE for Single-pass Multisensory Imitation Learning
by: Bhaskar, Amisha, et al.
Published: (2026)

Learning Geometric Invariant Features for Classification of Vector Polygons with Graph Message-passing Neural Network
by: Huang, Zexian, et al.
Published: (2024)

Verifying message-passing neural networks via topology-based bounds tightening
by: Hojny, Christopher, et al.
Published: (2024)

SALSA: Single-pass Autoregressive LLM Structured Classification
by: Berdichevsky, Ruslan, et al.
Published: (2025)

Heterogeneous Graph Contrastive Learning with Spectral Augmentation
by: Zhang, Jing, et al.
Published: (2024)

AS-GCL: Asymmetric Spectral Augmentation on Graph Contrastive Learning
by: Liu, Ruyue, et al.
Published: (2025)

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm
by: Gu, Xiaosi, et al.
Published: (2024)

Optimal message passing for molecular prediction is simple, attentive and spatial
by: Castaneda-Leautaud, Alma C., et al.
Published: (2025)

Single-pass Detection of Jailbreaking Input in Large Language Models
by: Candogan, Leyla Naz, et al.
Published: (2025)

Message passing-based inference in an autoregressive active inference agent
by: Kouw, Wouter M., et al.
Published: (2025)

Easy, robust approximate message passing for planted spike models
by: Ivkov, Misha, et al.
Published: (2026)

On the under-reaching phenomenon in message-passing neural PDE solvers: revisiting the CFL condition
by: Tesan, Lucas, et al.
Published: (2025)

Graph Contrastive Learning via Spectral Graph Alignment
by: Nguyen, Manh
Published: (2025)

Single-pass Adaptive Image Tokenization for Minimum Program Search
by: Duggal, Shivam, et al.
Published: (2025)

Online Bayesian system identification in multivariate autoregressive models via message passing
by: Nisslbeck, T. N., et al.
Published: (2025)

MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering
by: Zhu, Jian, et al.
Published: (2025)

Connecting the geometry and dynamics of many-body complex systems with message passing neural operators
by: Gabriel, Nicholas A., et al.
Published: (2025)

Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits
by: Shen, Shan, et al.
Published: (2025)

Learning Dynamic Graph Representations through Timespan View Contrasts
by: Xu, Yiming, et al.
Published: (2026)

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness
by: Sun, Qingqiang, et al.
Published: (2024)

Escape dynamics and implicit bias of one-pass SGD in overparameterized quadratic networks
by: Bocchi, Dario, et al.
Published: (2026)

View-based Explanations for Graph Neural Networks
by: Chen, Tingyang, et al.
Published: (2024)

Molecular Graph Contrastive Learning with Line Graph
by: Chen, Xueyuan, et al.
Published: (2025)

Tensor-Fused Multi-View Graph Contrastive Learning
by: Wu, Yujia, et al.
Published: (2024)

Spectral Disentanglement and Enhancement: A Dual-domain Contrastive Framework for Representation Learning
by: Guo, Jinjin, et al.
Published: (2026)

UltraSketchLLM: Saliency-Driven Sketching for Ultra-Low Bit LLM Compression
by: Zou, Sunan, et al.
Published: (2025)

Perfect reconstruction of sparse signals using nonconvexity control and one-step RSB message passing
by: Gu, Xiaosi, et al.
Published: (2025)

A non-asymptotic distributional theory of approximate message passing for sparse and robust regression
by: Li, Gen, et al.
Published: (2024)

ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation
by: Zhou, Xiaofan, et al.
Published: (2026)

Fractal Graph Contrastive Learning
by: Li, Nero Z., et al.
Published: (2025)

Contrastive Learning Is Spectral Clustering On Similarity Graph
by: Tan, Zhiquan, et al.
Published: (2023)

Q-MARL: A quantum-inspired algorithm using neural message passing for large-scale multi-agent reinforcement learning
by: Vo, Kha, et al.
Published: (2025)