Saved in:
| Main Authors: | Li, Jintang, Wu, Ruofan, Jin, Xinzhou, Ma, Boqun, Chen, Liang, Zheng, Zibin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.00943 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Are Large Language Models In-Context Graph Learners?
by: Li, Jintang, et al.
Published: (2025)
by: Li, Jintang, et al.
Published: (2025)
Oversmoothing: A Nightmare for Graph Contrastive Learning?
by: Li, Jintang, et al.
Published: (2023)
by: Li, Jintang, et al.
Published: (2023)
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
by: Li, Jintang, et al.
Published: (2023)
by: Li, Jintang, et al.
Published: (2023)
SGHormer: An Energy-Saving Graph Transformer Driven by Spikes
by: Zhang, Huizhe, et al.
Published: (2024)
by: Zhang, Huizhe, 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)
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
by: Liu, Yunfei, et al.
Published: (2024)
by: Liu, Yunfei, et al.
Published: (2024)
SGNNBench: A Holistic Evaluation of Spiking Graph Neural Network on Large-scale Graph
by: Zhang, Huizhe, et al.
Published: (2025)
by: Zhang, Huizhe, et al.
Published: (2025)
L^2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering
by: Jin, Xinzhou, et al.
Published: (2024)
by: Jin, Xinzhou, et al.
Published: (2024)
Fair Graph Representation Learning via Sensitive Attribute Disentanglement
by: Zhu, Yuchang, et al.
Published: (2024)
by: Zhu, Yuchang, et al.
Published: (2024)
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
by: Chen, Wei, et al.
Published: (2024)
by: Chen, Wei, et al.
Published: (2024)
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models
by: Ding, Zifeng, et al.
Published: (2024)
by: Ding, Zifeng, et al.
Published: (2024)
Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models
by: Jin, Ruofan, et al.
Published: (2026)
by: Jin, Ruofan, et al.
Published: (2026)
STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model
by: Li, Lincan, et al.
Published: (2024)
by: Li, Lincan, et al.
Published: (2024)
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes
by: Zhu, Yuchang, et al.
Published: (2024)
by: Zhu, Yuchang, et al.
Published: (2024)
SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding
by: Zhu, Yuchang, et al.
Published: (2025)
by: Zhu, Yuchang, et al.
Published: (2025)
State Space Models over Directed Graphs
by: She, Junzhi, et al.
Published: (2025)
by: She, Junzhi, et al.
Published: (2025)
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
by: Wang, Chloe, et al.
Published: (2024)
by: Wang, Chloe, et al.
Published: (2024)
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning
by: Wu, Chenlin, et al.
Published: (2024)
by: Wu, Chenlin, et al.
Published: (2024)
Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxies
by: Song, Jingze, et al.
Published: (2026)
by: Song, Jingze, et al.
Published: (2026)
Temporal Knowledge Graph Completion with Time-sensitive Relations in Hypercomplex Space
by: Cai, Li, et al.
Published: (2024)
by: Cai, Li, et al.
Published: (2024)
Make Every Draft Count: Hidden State based Speculative Decoding
by: Chen, Yuetao, et al.
Published: (2026)
by: Chen, Yuetao, et al.
Published: (2026)
Temporal Generalization Estimation in Evolving Graphs
by: Lu, Bin, et al.
Published: (2024)
by: Lu, Bin, et al.
Published: (2024)
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
by: Yuan, Yifu, et al.
Published: (2024)
by: Yuan, Yifu, et al.
Published: (2024)
UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration
by: Chen, Xingsheng, et al.
Published: (2026)
by: Chen, Xingsheng, et al.
Published: (2026)
GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
by: Ke, Songyu, et al.
Published: (2025)
by: Ke, Songyu, et al.
Published: (2025)
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces
by: Choi, Jinhyeok, et al.
Published: (2024)
by: Choi, Jinhyeok, et al.
Published: (2024)
Mitigating the Structural Bias in Graph Adversarial Defenses
by: Fang, Junyuan, et al.
Published: (2025)
by: Fang, Junyuan, et al.
Published: (2025)
Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data
by: Zhao, Dandan, et al.
Published: (2025)
by: Zhao, Dandan, et al.
Published: (2025)
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
by: Fang, Junyuan, et al.
Published: (2025)
by: Fang, Junyuan, et al.
Published: (2025)
Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis
by: Wei, Yuxiang, et al.
Published: (2024)
by: Wei, Yuxiang, et al.
Published: (2024)
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning
by: Atitallah, Safa Ben, et al.
Published: (2024)
by: Atitallah, Safa Ben, et al.
Published: (2024)
Efficient State Space Model via Fast Tensor Convolution and Block Diagonalization
by: Liang, Tongyi, et al.
Published: (2024)
by: Liang, Tongyi, et al.
Published: (2024)
CueGCL: Cluster-aware Personalized Self-Training for Unsupervised Graph Contrastive Learning
by: Li, Yuecheng, et al.
Published: (2023)
by: Li, Yuecheng, et al.
Published: (2023)
GRExplainer: A Universal Explanation Method for Temporal Graph Neural Networks
by: Li, Xuyan, et al.
Published: (2025)
by: Li, Xuyan, et al.
Published: (2025)
PRISM: Parametrically Refactoring Inference for Speculative Sampling Draft Models
by: Wang, Xuliang, et al.
Published: (2026)
by: Wang, Xuliang, et al.
Published: (2026)
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
by: Dong, Zibin, et al.
Published: (2024)
by: Dong, Zibin, et al.
Published: (2024)
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
by: Jin, Ming, et al.
Published: (2023)
by: Jin, Ming, et al.
Published: (2023)
GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model
by: Fu, Yali, et al.
Published: (2025)
by: Fu, Yali, et al.
Published: (2025)
UrbanFM: Scaling Urban Spatio-Temporal Foundation Models
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
Exploring Adversarial Robustness of Deep State Space Models
by: Qi, Biqing, et al.
Published: (2024)
by: Qi, Biqing, et al.
Published: (2024)
Similar Items
-
Are Large Language Models In-Context Graph Learners?
by: Li, Jintang, et al.
Published: (2025) -
Oversmoothing: A Nightmare for Graph Contrastive Learning?
by: Li, Jintang, et al.
Published: (2023) -
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
by: Li, Jintang, et al.
Published: (2023) -
SGHormer: An Energy-Saving Graph Transformer Driven by Spikes
by: Zhang, Huizhe, et al.
Published: (2024) -
Revisiting Graph Autoencoders as Implicit Contrastive Learners
by: Li, Jintang, et al.
Published: (2024)