Saved in:
| Main Authors: | Fu, Changzeng, Zhao, Shiwen, Zhang, Yunze, Jian, Zhongquan, Zhao, Shiqi, Liu, Chaoran |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.12460 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The First MPDD Challenge: Multimodal Personality-aware Depression Detection
by: Fu, Changzeng, et al.
Published: (2025)
by: Fu, Changzeng, et al.
Published: (2025)
EviDep: Trustworthy Multimodal Depression Estimation via Disentangled Evidential Learning
by: Liu, Fangyuan, et al.
Published: (2026)
by: Liu, Fangyuan, et al.
Published: (2026)
HypergraphFormer: Learning Hypergraphs from LLMs for Editable Floor Plan Generation
by: Klimenko, Nikita, et al.
Published: (2026)
by: Klimenko, Nikita, et al.
Published: (2026)
Disentanglement in Difference: Directly Learning Semantically Disentangled Representations by Maximizing Inter-Factor Differences
by: Zhang, Xingshen, et al.
Published: (2025)
by: Zhang, Xingshen, et al.
Published: (2025)
Hypergraph and Latent ODE Learning for Multimodal Root Cause Localization in Microservices
by: Liu, Xin, et al.
Published: (2026)
by: Liu, Xin, et al.
Published: (2026)
Adversarial Graph Disentanglement
by: Zheng, Shuai, et al.
Published: (2021)
by: Zheng, Shuai, et al.
Published: (2021)
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection
by: Zhou, Weilin, et al.
Published: (2025)
by: Zhou, Weilin, et al.
Published: (2025)
MDPO: Multi-Granularity Direct Preference Optimization for Mathematical Reasoning
by: Lin, Yunze
Published: (2025)
by: Lin, Yunze
Published: (2025)
Disentangling Homophily and Heterophily in Multimodal Graph Clustering
by: Guo, Zhaochen, et al.
Published: (2025)
by: Guo, Zhaochen, et al.
Published: (2025)
Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN
by: Chen, Ziyi, et al.
Published: (2023)
by: Chen, Ziyi, et al.
Published: (2023)
Hyperedge Anomaly Detection with Hypergraph Neural Network
by: Alam, Md. Tanvir, et al.
Published: (2024)
by: Alam, Md. Tanvir, et al.
Published: (2024)
Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation
by: Li, Mengfan, et al.
Published: (2024)
by: Li, Mengfan, et al.
Published: (2024)
Implicit Hypergraph Neural Network
by: Choudhuri, Akash, et al.
Published: (2025)
by: Choudhuri, Akash, et al.
Published: (2025)
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
by: Zhang, Zeyang, et al.
Published: (2024)
by: Zhang, Zeyang, et al.
Published: (2024)
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
by: Guo, Zihao, et al.
Published: (2025)
by: Guo, Zihao, et al.
Published: (2025)
Improved Monte Carlo Planning via Causal Disentanglement for Structurally-Decomposed Markov Decision Processes
by: Liu, Larkin, et al.
Published: (2024)
by: Liu, Larkin, et al.
Published: (2024)
CrashFormer: A Multimodal Architecture to Predict the Risk of Crash
by: Monsefi, Amin Karimi, et al.
Published: (2024)
by: Monsefi, Amin Karimi, et al.
Published: (2024)
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
by: Zhao, Jiangwei, et al.
Published: (2021)
by: Zhao, Jiangwei, et al.
Published: (2021)
Tackling Over-smoothing on Hypergraphs: A Ricci Flow-guided Neural Diffusion Approach
by: Zhou, Mengyao, et al.
Published: (2026)
by: Zhou, Mengyao, et al.
Published: (2026)
Disentanglement of Variations with Multimodal Generative Modeling
by: Zhang, Yijie, et al.
Published: (2025)
by: Zhang, Yijie, et al.
Published: (2025)
Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection
by: Chen, Xiaojing, et al.
Published: (2026)
by: Chen, Xiaojing, et al.
Published: (2026)
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
by: Guo, Hongcheng, et al.
Published: (2024)
by: Guo, Hongcheng, et al.
Published: (2024)
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference
by: Yu, Jianxing, et al.
Published: (2024)
by: Yu, Jianxing, et al.
Published: (2024)
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
by: Mercier, Dominique, et al.
Published: (2023)
by: Mercier, Dominique, et al.
Published: (2023)
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization
by: Gong, Shuai, et al.
Published: (2025)
by: Gong, Shuai, et al.
Published: (2025)
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
by: Song, Yumeng, et al.
Published: (2023)
by: Song, Yumeng, et al.
Published: (2023)
Heterogeneous Temporal Hypergraph Neural Network
by: Liu, Huan, et al.
Published: (2025)
by: Liu, Huan, et al.
Published: (2025)
Learning Domain- and Class-Disentangled Prototypes for Domain-Generalized EEG Emotion Recognition
by: Li, Guangli, et al.
Published: (2025)
by: Li, Guangli, et al.
Published: (2025)
Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation
by: Zhou, Yangxuan, et al.
Published: (2024)
by: Zhou, Yangxuan, et al.
Published: (2024)
MMFformer: Multimodal Fusion Transformer Network for Depression Detection
by: Haque, Md Rezwanul, et al.
Published: (2025)
by: Haque, Md Rezwanul, et al.
Published: (2025)
ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds
by: Fu, Yihang, et al.
Published: (2025)
by: Fu, Yihang, et al.
Published: (2025)
PHGNN: A Novel Prompted Hypergraph Neural Network to Diagnose Alzheimer's Disease
by: Liu, Chenyu, et al.
Published: (2025)
by: Liu, Chenyu, et al.
Published: (2025)
Sequence Pathfinder for Multi-Agent Pickup and Delivery in the Warehouse
by: Zhao, Zeyuan, et al.
Published: (2025)
by: Zhao, Zeyuan, et al.
Published: (2025)
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications
by: Zhao, Ziming, et al.
Published: (2024)
by: Zhao, Ziming, et al.
Published: (2024)
Cell-ontology guided transcriptome foundation model
by: Yuan, Xinyu, et al.
Published: (2024)
by: Yuan, Xinyu, et al.
Published: (2024)
DIM: Enforcing Domain-Informed Monotonicity in Deep Neural Networks
by: Salim, Joshua, et al.
Published: (2025)
by: Salim, Joshua, et al.
Published: (2025)
Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG Representative Learning
by: Fu, Xiaowen, et al.
Published: (2024)
by: Fu, Xiaowen, et al.
Published: (2024)
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
by: Yu, Leisheng, et al.
Published: (2025)
by: Yu, Leisheng, et al.
Published: (2025)
Resilience Inference for Supply Chains with Hypergraph Neural Network
by: Shen, Zetian, et al.
Published: (2025)
by: Shen, Zetian, et al.
Published: (2025)
Causal Spherical Hypergraph Networks for Modelling Social Uncertainty
by: Harit, Anoushka, et al.
Published: (2025)
by: Harit, Anoushka, et al.
Published: (2025)
Similar Items
-
The First MPDD Challenge: Multimodal Personality-aware Depression Detection
by: Fu, Changzeng, et al.
Published: (2025) -
EviDep: Trustworthy Multimodal Depression Estimation via Disentangled Evidential Learning
by: Liu, Fangyuan, et al.
Published: (2026) -
HypergraphFormer: Learning Hypergraphs from LLMs for Editable Floor Plan Generation
by: Klimenko, Nikita, et al.
Published: (2026) -
Disentanglement in Difference: Directly Learning Semantically Disentangled Representations by Maximizing Inter-Factor Differences
by: Zhang, Xingshen, et al.
Published: (2025) -
Hypergraph and Latent ODE Learning for Multimodal Root Cause Localization in Microservices
by: Liu, Xin, et al.
Published: (2026)