Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
Fuente:
arXiv
Saved in:
| Main Authors: | Zeng, Long, Yu, Jianxiang, Zhu, Jiapeng, Zhong, Qingsong, Li, Xiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Relation-Aware Graph Foundation Model
by: Yu, Jianxiang, et al.
Published: (2025)
by: Yu, Jianxiang, et al.
Published: (2025)
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning
by: Zhu, Jiapeng, et al.
Published: (2024)
by: Zhu, Jiapeng, et al.
Published: (2024)
Class-Balanced and Reinforced Active Learning on Graphs
by: Yu, Chengcheng, et al.
Published: (2024)
by: Yu, Chengcheng, et al.
Published: (2024)
Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes
by: Zhao, Yige, et al.
Published: (2023)
by: Zhao, Yige, et al.
Published: (2023)
Boosting Graph Foundation Model from Structural Perspective
by: Cheng, Yao, et al.
Published: (2024)
by: Cheng, Yao, et al.
Published: (2024)
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples
by: Yu, Jianxiang, et al.
Published: (2022)
by: Yu, Jianxiang, et al.
Published: (2022)
Hi-GMAE: Hierarchical Graph Masked Autoencoders
by: Liu, Chuang, et al.
Published: (2024)
by: Liu, Chuang, et al.
Published: (2024)
Masked BRep Autoencoder via Hierarchical Graph Transformer
by: Li, Yifei, et al.
Published: (2026)
by: Li, Yifei, et al.
Published: (2026)
Variable Bitrate Residual Vector Quantization for Audio Coding
by: Chae, Yunkee, et al.
Published: (2024)
by: Chae, Yunkee, et al.
Published: (2024)
STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading
by: Zhao, Yilei, et al.
Published: (2024)
by: Zhao, Yilei, et al.
Published: (2024)
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
by: Yu, Jianxiang, et al.
Published: (2023)
by: Yu, Jianxiang, et al.
Published: (2023)
SculptDrug : A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design
by: Zhong, Qingsong, et al.
Published: (2025)
by: Zhong, Qingsong, et al.
Published: (2025)
Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning
by: Zhai, Zian, et al.
Published: (2025)
by: Zhai, Zian, et al.
Published: (2025)
HCFT: Hierarchical Convolutional Fusion Transformer for EEG Decoding
by: Zhang, Haodong, et al.
Published: (2026)
by: Zhang, Haodong, et al.
Published: (2026)
Self-Pro: A Self-Prompt and Tuning Framework for Graph Neural Networks
by: Gong, Chenghua, et al.
Published: (2023)
by: Gong, Chenghua, et al.
Published: (2023)
Unsupervised Feature Selection via Robust Autoencoder and Adaptive Graph Learning
by: Yu, Feng, et al.
Published: (2025)
by: Yu, Feng, et al.
Published: (2025)
Improving Graph Out-of-distribution Generalization Beyond Causality
by: Xu, Can, et al.
Published: (2024)
by: Xu, Can, et al.
Published: (2024)
Vector Quantization in the Brain: Grid-like Codes in World Models
by: Peng, Xiangyuan, et al.
Published: (2025)
by: Peng, Xiangyuan, et al.
Published: (2025)
Vector Quantization Prompting for Continual Learning
by: Jiao, Li, et al.
Published: (2024)
by: Jiao, Li, et al.
Published: (2024)
Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signals
by: Kompella, Srihari Kamesh, et al.
Published: (2024)
by: Kompella, Srihari Kamesh, et al.
Published: (2024)
Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving
by: Cheng, Yao, et al.
Published: (2025)
by: Cheng, Yao, et al.
Published: (2025)
Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting
by: Zhou, Jianxiang, et al.
Published: (2024)
by: Zhou, Jianxiang, et al.
Published: (2024)
Online Vector Quantized Attention
by: Alonso, Nick, et al.
Published: (2026)
by: Alonso, Nick, et al.
Published: (2026)
Pyramid Vector Quantization for LLMs
by: van der Ouderaa, Tycho F. A., et al.
Published: (2024)
by: van der Ouderaa, Tycho F. A., et al.
Published: (2024)
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens
by: Kim, Jaehyeon, et al.
Published: (2024)
by: Kim, Jaehyeon, et al.
Published: (2024)
Revisiting Graph Autoencoders as Implicit Contrastive Learners
by: Li, Jintang, et al.
Published: (2024)
by: Li, Jintang, et al.
Published: (2024)
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
by: Wang, Liang, et al.
Published: (2024)
by: Wang, Liang, et al.
Published: (2024)
STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
Attention Based Molecule Generation via Hierarchical Variational Autoencoder
by: Sivanesan, Divahar
Published: (2024)
by: Sivanesan, Divahar
Published: (2024)
SBVR: Summation of BitVector Representation for Efficient LLM Quantization
by: Bang, Wonjun, et al.
Published: (2025)
by: Bang, Wonjun, et al.
Published: (2025)
S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction
by: Adiban, Mohammad, et al.
Published: (2023)
by: Adiban, Mohammad, et al.
Published: (2023)
Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE
by: Xu, Fan, et al.
Published: (2026)
by: Xu, Fan, et al.
Published: (2026)
Enhancing LLM Steering through Sparse Autoencoder-Based Vector Refinement
by: Wang, Anyi, et al.
Published: (2025)
by: Wang, Anyi, et al.
Published: (2025)
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
by: Zhu, Qiuyu, et al.
Published: (2024)
by: Zhu, Qiuyu, et al.
Published: (2024)
Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery
by: Yu, Xuemin, et al.
Published: (2026)
by: Yu, Xuemin, et al.
Published: (2026)
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory
by: Liu, Zicheng, et al.
Published: (2024)
by: Liu, Zicheng, et al.
Published: (2024)
RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization
by: Xu, Chen, et al.
Published: (2025)
by: Xu, Chen, et al.
Published: (2025)
CRVQ: Channel-Relaxed Vector Quantization for Extreme Compression of LLMs
by: Xu, Yuzhuang, et al.
Published: (2024)
by: Xu, Yuzhuang, et al.
Published: (2024)
Generalized Radius and Integrated Codebook Transforms for Differentiable Vector Quantization
by: You, Haochen, et al.
Published: (2026)
by: You, Haochen, et al.
Published: (2026)
From Semantics to Pixels: Coarse-to-Fine Masked Autoencoders for Hierarchical Visual Understanding
by: Xiang, Wenzhao, et al.
Published: (2026)
by: Xiang, Wenzhao, et al.
Published: (2026)
Similar Items
-
Relation-Aware Graph Foundation Model
by: Yu, Jianxiang, et al.
Published: (2025) -
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning
by: Zhu, Jiapeng, et al.
Published: (2024) -
Class-Balanced and Reinforced Active Learning on Graphs
by: Yu, Chengcheng, et al.
Published: (2024) -
Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes
by: Zhao, Yige, et al.
Published: (2023) -
Boosting Graph Foundation Model from Structural Perspective
by: Cheng, Yao, et al.
Published: (2024)