Copertina

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Qian, Feifei, Cui, Lixin, Li, Ming, Wang, Yue, Du, Hangyuan, Xu, Lixiang, Bai, Lu, Yu, Philip S., Hancock, Edwin R.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
di: Xu, Zhuo, et al.
Pubblicazione: (2024)

SSHPool: The Separated Subgraph-based Hierarchical Pooling
di: Xu, Zhuo, et al.
Pubblicazione: (2024)

ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
di: Zhao, Zhehan, et al.
Pubblicazione: (2024)

LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
di: Du, Lin, et al.
Pubblicazione: (2025)

Knowledge Probing for Graph Representation Learning
di: Zhao, Mingyu, et al.
Pubblicazione: (2024)

Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System
di: Li, Jing, et al.
Pubblicazione: (2024)

Improving Question Embeddings with Cognitive Representation Optimization for Knowledge Tracing
di: Xu, Lixiang, et al.
Pubblicazione: (2025)

Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach
di: Ai, Xing, et al.
Pubblicazione: (2022)

HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily
di: Li, Xinyi, et al.
Pubblicazione: (2026)

Graph Attention-based Adaptive Transfer Learning for Link Prediction
di: Lu, Huashen, et al.
Pubblicazione: (2025)

Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive Decoding
di: Qi, Yupeng, et al.
Pubblicazione: (2026)

Graph Contrastive Learning on Multi-label Classification for Recommendations
di: Wu, Jiayang, et al.
Pubblicazione: (2025)

A double-layer placement algorithm for integrated circuit-based modules on printed circuit board
di: Li, Hangyuan, et al.
Pubblicazione: (2025)

Learning to Approximate Adaptive Kernel Convolution on Graphs
di: Sim, Jaeyoon, et al.
Pubblicazione: (2024)

AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks
di: Zhang, Zhongyue, et al.
Pubblicazione: (2026)

Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction
di: Hu, Pengfei, et al.
Pubblicazione: (2025)

Robust 3DGS-based SLAM via Adaptive Kernel Smoothing
di: Zhang, Shouhe, et al.
Pubblicazione: (2025)

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
di: Wang, Mao, et al.
Pubblicazione: (2025)

A Closed-Form Adaptive-Landmark Kernel for Certified Point-Cloud and Graph Classification
di: Majhi, Sushovan, et al.
Pubblicazione: (2026)

Dynamic Programming Techniques for Enhancing Cognitive Representation in Knowledge Tracing
di: Xu, Lixiang, et al.
Pubblicazione: (2025)

Federated Graph Learning with Adaptive Importance-based Sampling
di: Li, Anran, et al.
Pubblicazione: (2024)

UniMAP: Universal SMILES-Graph Representation Learning
di: Feng, Shikun, et al.
Pubblicazione: (2023)

GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
di: Zeng, Fanlong, et al.
Pubblicazione: (2025)

Reinforcement Learning for Scalable Train Timetable Rescheduling with Graph Representation
di: Yue, Peng, et al.
Pubblicazione: (2024)

Dual-Kernel Graph Community Contrastive Learning
di: Chen, Xiang, et al.
Pubblicazione: (2025)

MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning
di: Wang, Yusong, et al.
Pubblicazione: (2026)

Graph Propagation Transformer for Graph Representation Learning
di: Chen, Zhe, et al.
Pubblicazione: (2023)

A Multimodal Adaptive Graph-based Intelligent Classification Model for Fake News
di: Jun-hao, et al.
Pubblicazione: (2024)

DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
di: Wang, Yifan, et al.
Pubblicazione: (2024)

Beyond Unidimensional Assessment: Methodological Considerations for Evaluating Urinary Incontinence and Apathy in Idiopathic Normal Pressure Hydrocephalus
di: Mingjing Xu, et al.
Pubblicazione: (2025)

Advancing the Prognostic Utility of Free Testosterone in Advanced Chronic Liver Disease: Key Methodological Considerations
di: Mingjing Xu, et al.
Pubblicazione: (2025)

Immersions of Directed Graphs in Tournaments
di: António Girão, et al.
Pubblicazione: (2024)

Boosting Multimodal Remote Sensing Image Classification with Transformer-based Heterogeneously Salient Graph Representation
di: Yang, Jiaqi, et al.
Pubblicazione: (2023)

Model Metamers Reveal Invariances in Graph Neural Networks
di: Xu, Wei, et al.
Pubblicazione: (2025)

Ada-MK: Adaptive MegaKernel Optimization via Automated DAG-based Search for LLM Inference
di: Dong, Wenxin, et al.
Pubblicazione: (2026)

Kernel Alignment-based Multi-view Unsupervised Feature Selection with Sample-level Adaptive Graph Learning
di: Tan, Yalan, et al.
Pubblicazione: (2026)

Performing Artists and Precarity
di: Hancock, Philip, et al.
Pubblicazione: (2024)

Live Performance in the Age of Technological Mediatisation
di: Philip Hancock, et al.
Pubblicazione: (2025)

Adaptive Disentangled Representation Learning for Incomplete Multi-View Multi-Label Classification
di: Li, Quanjiang, et al.
Pubblicazione: (2026)

Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax
di: Yao, Hao-Ren, et al.
Pubblicazione: (2022)