Saved in:
| Main Author: | Huang, Weichen |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.06395 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Effective Dynamic Gradient Calibration Method for Continual Learning
by: Lin, Weichen, et al.
Published: (2024)
by: Lin, Weichen, et al.
Published: (2024)
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
by: Qian, Feifei, et al.
Published: (2024)
by: Qian, Feifei, et al.
Published: (2024)
Graph Neural Aggregation-diffusion with Metastability
by: Cui, Kaiyuan, et al.
Published: (2024)
by: Cui, Kaiyuan, et al.
Published: (2024)
Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning
by: Huang, Chao, et al.
Published: (2024)
by: Huang, Chao, et al.
Published: (2024)
FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning
by: Li, Jiaoyang, et al.
Published: (2025)
by: Li, Jiaoyang, et al.
Published: (2025)
Schema-Adaptive Tabular Representation Learning with LLMs for Generalizable Multimodal Clinical Reasoning
by: Mao, Hongxi, et al.
Published: (2026)
by: Mao, Hongxi, et al.
Published: (2026)
Knowledge Probing for Graph Representation Learning
by: Zhao, Mingyu, et al.
Published: (2024)
by: Zhao, Mingyu, et al.
Published: (2024)
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
by: Deng, Gangda, et al.
Published: (2024)
by: Deng, Gangda, et al.
Published: (2024)
Geometric Mixture-of-Experts with Curvature-Guided Adaptive Routing for Graph Representation Learning
by: Cao, Haifang, et al.
Published: (2026)
by: Cao, Haifang, et al.
Published: (2026)
A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases
by: Wang, Zhepeng, et al.
Published: (2024)
by: Wang, Zhepeng, et al.
Published: (2024)
DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph
by: Zhao, Feng, et al.
Published: (2026)
by: Zhao, Feng, et al.
Published: (2026)
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)
by: Wang, Ling, et al.
Published: (2024)
Robust Multimodal Representation Learning in Healthcare
by: Zhu, Xiaoguang, et al.
Published: (2026)
by: Zhu, Xiaoguang, et al.
Published: (2026)
Graph Propagation Transformer for Graph Representation Learning
by: Chen, Zhe, et al.
Published: (2023)
by: Chen, Zhe, et al.
Published: (2023)
Molecular Graph Representation Learning via Structural Similarity Information
by: Yao, Chengyu, et al.
Published: (2024)
by: Yao, Chengyu, et al.
Published: (2024)
Graph Attention-based Adaptive Transfer Learning for Link Prediction
by: Lu, Huashen, et al.
Published: (2025)
by: Lu, Huashen, et al.
Published: (2025)
Multimodal Representation Learning Conditioned on Semantic Relations
by: Qiao, Yang, et al.
Published: (2025)
by: Qiao, Yang, et al.
Published: (2025)
A Closer Look at the Application of Causal Inference in Graph Representation Learning
by: Gao, Hang, et al.
Published: (2026)
by: Gao, Hang, et al.
Published: (2026)
Disentangled Generative Graph Representation Learning
by: Hu, Xinyue, et al.
Published: (2024)
by: Hu, Xinyue, et al.
Published: (2024)
Continual Multimodal Knowledge Graph Construction
by: Chen, Xiang, et al.
Published: (2023)
by: Chen, Xiang, et al.
Published: (2023)
UniMAP: Universal SMILES-Graph Representation Learning
by: Feng, Shikun, et al.
Published: (2023)
by: Feng, Shikun, et al.
Published: (2023)
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
by: Nguyen, Duong M., et al.
Published: (2025)
by: Nguyen, Duong M., et al.
Published: (2025)
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)
by: Wang, Ling, et al.
Published: (2024)
Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning
by: Wei, Chu-Yuan, et al.
Published: (2025)
by: Wei, Chu-Yuan, et al.
Published: (2025)
Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
by: Xiong, Jiafeng, et al.
Published: (2025)
by: Xiong, Jiafeng, et al.
Published: (2025)
Unity by Diversity: Improved Representation Learning in Multimodal VAEs
by: Sutter, Thomas M., et al.
Published: (2024)
by: Sutter, Thomas M., et al.
Published: (2024)
Constructing Ancestral Recombination Graphs through Reinforcement Learning
by: Raymond, Mélanie, et al.
Published: (2024)
by: Raymond, Mélanie, et al.
Published: (2024)
Enhancing Chess Reinforcement Learning with Graph Representation
by: Rigaux, Tomas, et al.
Published: (2024)
by: Rigaux, Tomas, et al.
Published: (2024)
Causal Neighbourhood Learning for Invariant Graph Representations
by: Job, Simi, et al.
Published: (2026)
by: Job, Simi, et al.
Published: (2026)
Graph Representation Learning with Diffusion Generative Models
by: Wesego, Daniel
Published: (2025)
by: Wesego, Daniel
Published: (2025)
Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning
by: Wang, Xiaoyi, et al.
Published: (2026)
by: Wang, Xiaoyi, et al.
Published: (2026)
Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition
by: Huang, Chengxiang, et al.
Published: (2025)
by: Huang, Chengxiang, et al.
Published: (2025)
Modality as Heterogeneity: Node Splitting and Graph Rewiring for Multimodal Graph Learning
by: Zhang, Yihan, et al.
Published: (2026)
by: Zhang, Yihan, et al.
Published: (2026)
Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning
by: Fan, Xudong, et al.
Published: (2025)
by: Fan, Xudong, et al.
Published: (2025)
Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning
by: Chen, Boyu, et al.
Published: (2024)
by: Chen, Boyu, et al.
Published: (2024)
Causal Debiasing Medical Multimodal Representation Learning with Missing Modalities
by: Zhu, Xiaoguang, et al.
Published: (2025)
by: Zhu, Xiaoguang, et al.
Published: (2025)
Learning to Approximate Adaptive Kernel Convolution on Graphs
by: Sim, Jaeyoon, et al.
Published: (2024)
by: Sim, Jaeyoon, et al.
Published: (2024)
Learning Divergence Fields for Shift-Robust Graph Representations
by: Wu, Qitian, et al.
Published: (2024)
by: Wu, Qitian, et al.
Published: (2024)
Data-Driven Self-Supervised Graph Representation Learning
by: Samy, Ahmed E., et al.
Published: (2024)
by: Samy, Ahmed E., et al.
Published: (2024)
Learning Network Representations with Disentangled Graph Auto-Encoder
by: Fan, Di, et al.
Published: (2024)
by: Fan, Di, et al.
Published: (2024)
Similar Items
-
An Effective Dynamic Gradient Calibration Method for Continual Learning
by: Lin, Weichen, et al.
Published: (2024) -
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
by: Qian, Feifei, et al.
Published: (2024) -
Graph Neural Aggregation-diffusion with Metastability
by: Cui, Kaiyuan, et al.
Published: (2024) -
Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning
by: Huang, Chao, et al.
Published: (2024) -
FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning
by: Li, Jiaoyang, et al.
Published: (2025)