:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lin, Di, Ren, Wanjing, Li, Xuanbin, Zhang, Rui
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2506.06682
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder
by: Lin, Di, et al.
Published: (2025)

Jointly Learning Representations for Map Entities via Heterogeneous Graph Contrastive Learning
by: Jiang, Jiawei, et al.
Published: (2024)

Cheeger--Hodge Contrastive Learning for Structurally Robust Graph Representation Learning
by: Zhao, Mengyang, et al.
Published: (2026)

Heterogeneous Graph Contrastive Learning with Spectral Augmentation
by: Zhang, Jing, et al.
Published: (2024)

Towards Robust Federated Multimodal Graph Learning under Modality Heterogeneity
by: Zhang, Sirui, et al.
Published: (2026)

Graph Contrastive Learning under Heterophily via Graph Filters
by: Yang, Wenhan, et al.
Published: (2023)

HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
by: Zhu, Qiuyu, et al.
Published: (2024)

Federated Contrastive Learning of Graph-Level Representations
by: Li, Xiang, et al.
Published: (2024)

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

Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs
by: Bai, Qijie, et al.
Published: (2024)

Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
by: Shou, Yuntao, et al.
Published: (2024)

Dissecting Representation Misalignment in Contrastive Learning via Influence Function
by: Hu, Lijie, et al.
Published: (2024)

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
by: Zhu, Minqin, et al.
Published: (2024)

Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation Strategies
by: Liu, Qi, et al.
Published: (2024)

MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation
by: Mao, Xuqi, et al.
Published: (2025)

HERGC: Heterogeneous Experts Representation and Generative Completion for Multimodal Knowledge Graphs
by: Xiao, Yongkang, et al.
Published: (2025)

Robust Representation Consistency Model via Contrastive Denoising
by: Lei, Jiachen, et al.
Published: (2025)

Homophily-aware Heterogeneous Graph Contrastive Learning
by: Wang, Haosen, et al.
Published: (2025)

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
by: Liu, Nian, et al.
Published: (2023)

Generative-Contrastive Heterogeneous Graph Neural Network
by: Wang, Yu, et al.
Published: (2024)

Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift
by: Zhang, Jiaqiang, et al.
Published: (2024)

GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning
by: Fan, Kaizhe, et al.
Published: (2024)

GeoRecon: Graph-Level Representation Learning for 3D Molecules via Reconstruction-Based Pretraining
by: Yan, Shaoheng, et al.
Published: (2025)

Learning Sparse Visual Representations via Spatial-Semantic Factorization
by: Zhao, Theodore Zhengde, et al.
Published: (2026)

HFedCKD: Toward Robust Heterogeneous Federated Learning via Data-free Knowledge Distillation and Two-way Contrast
by: Zheng, Yiting, et al.
Published: (2025)

Contrastive Network Representation Learning
by: Dong, Zihan, et al.
Published: (2025)

CoRe-ECG: Advancing Self-Supervised Representation Learning for 12-Lead ECG via Contrastive and Reconstructive Synergy
by: Qin, Zehao, et al.
Published: (2026)

Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model
by: Li, Yujun, et al.
Published: (2024)

Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples
by: Yu, Jianxiang, et al.
Published: (2022)

Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
by: Jiang, Ruobing, et al.
Published: (2025)

Robust OOD Graph Learning via Mean Constraints and Noise Reduction
by: Zhou, Yang, et al.
Published: (2025)

HeSRN: Representation Learning On Heterogeneous Graphs via Slot-Aware Retentive Network
by: Lu, Yifan, et al.
Published: (2025)

The Epochal Sawtooth Phenomenon: Unveiling Training Loss Oscillations in Adam and Other Optimizers
by: Liu, Qi, et al.
Published: (2024)

Graph Topology Information Enhanced Heterogeneous Graph Representation Learning
by: Zhao, He, et al.
Published: (2026)

Learning Dynamic Graph Representations through Timespan View Contrasts
by: Xu, Yiming, et al.
Published: (2026)

Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
by: Wu, Xinghao, et al.
Published: (2025)

CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph Data Augmentations
by: Zhang, Tianyu, et al.
Published: (2021)

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts
by: Li, Peiyuan, et al.
Published: (2026)

From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering
by: Ni, Li, et al.
Published: (2026)

Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
by: Wu, Lirong, et al.
Published: (2024)