1
Hypergraph as Language
跳出传统图思维，用超图语言表达复杂关系，LLM建模迎来新范式。
arXiv:2605.21858v1 Announce Type: new Abstract: Large language models (LLMs) have recently shown strong potential in modeling relational structures. H…
2
Graph Embedding in the Graph Fractional Fourier Transform Domain
在图的分数傅里叶变换域中嵌入，突破传统谱嵌入的表达瓶颈，捕获更全面的图结构特征
arXiv:2508.02383v2 Announce Type: replace Abstract: Spectral graph embedding plays a critical role in graph representation learning by generating low-…
3
Structure-Aware Masking for Protein Representation Learning
突破性结构感知掩码方法，提升蛋白质表征学习效能，为AI制药与蛋白质设计提供新思路
arXiv:2605.16581v1 Announce Type: new Abstract: Masked language modeling (MLM) is the standard objective for training protein language models, typical…
4
Network-Aware Bilinear Tokenization for Brain Functional Connectivity Representation Learning
用掩码自编码器做脑功能连接自监督表示学习，如何高效分词？双线性分词方案给出新思路
arXiv:2605.14048v1 Announce Type: new Abstract: Masked autoencoders (MAEs) have recently shown promise for self-supervised representation learning of …
5
Improved Baselines with Representation Autoencoders
用预训练视觉编码器替代传统 VAE，系统性设计选择研究揭示三大简化改进思路。
arXiv:2605.18324v1 Announce Type: cross Abstract: Representation Autoencoders (RAE) replace traditional VAE with pretrained vision encoders. In this p…
6
PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection
提出PaAno方法，用补丁表示学习实现高效时间序列异常检测，兼顾性能与计算资源
arXiv:2602.01359v2 Announce Type: replace-cross Abstract: Although recent studies on time-series anomaly detection have increasingly adopted ever-larg…
7
AudioMosaic: Contrastive Masked Audio Representation Learning
新方法AudioMosaic融合对比学习与掩码表示，攻克音频自监督的对比方法难题。
arXiv:2605.14231v1 Announce Type: cross Abstract: Audio self-supervised learning (SSL) aims to learn general-purpose representations from large-scale …