Cover Image

Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Yuhao, Yao, Jiangchao, Han, Bo, Yao, Lina, Liu, Tongliang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
by: Zhou, Zhanke, et al.
Published: (2024)

Revisiting the Message Passing in Heterophilous Graph Neural Networks
by: Zheng, Zhuonan, et al.
Published: (2024)

Discovering Invariant Neighborhood Patterns for Heterophilic Graphs
by: Yang, Jinluan, et al.
Published: (2024)

Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
by: Lu, Qincheng, et al.
Published: (2024)

THeGCN: Temporal Heterophilic Graph Convolutional Network
by: Yan, Yuchen, et al.
Published: (2024)

Heterophilous Distribution Propagation for Graph Neural Networks
by: Zheng, Zhuonan, et al.
Published: (2024)

The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
by: Luan, Sitao, et al.
Published: (2024)

Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network
by: Zheng, Yilun, et al.
Published: (2024)

SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation
by: Liu, Haoyu, et al.
Published: (2023)

Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
by: Lu, Qincheng, et al.
Published: (2024)

Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs
by: Guan, Renchu, et al.
Published: (2025)

Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
by: Park, MoonJeong, et al.
Published: (2024)

Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory
by: Fuchsgruber, Dominik, et al.
Published: (2025)

Interpretable and Adaptive Node Classification on Heterophilic Graphs via Combinatorial Scoring and Hybrid Learning
by: Vahidi, Soroush
Published: (2025)

CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph
by: He, Silu, et al.
Published: (2023)

Exploring the Potential of Large Language Models for Heterophilic Graphs
by: Wu, Yuxia, et al.
Published: (2024)

HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
by: Zhang, Shuaicheng, et al.
Published: (2025)

LEGO-Learn: Label-Efficient Graph Open-Set Learning
by: Xu, Haoyan, et al.
Published: (2024)

Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding
by: Jiang, Mengying, et al.
Published: (2024)

A Unified Graph Selective Prompt Learning for Graph Neural Networks
by: Jiang, Bo, et al.
Published: (2024)

Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
by: Wang, Yuxiang, et al.
Published: (2025)

HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model
by: Pan, Zhenyu, et al.
Published: (2024)

Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
by: Dong, Yuxin, et al.
Published: (2024)

Mitigating Label Noise on Graph via Topological Sample Selection
by: Wu, Yuhao, et al.
Published: (2024)

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

Spectral-Aware Augmentation for Enhanced Graph Representation Learning
by: Yang, Kaiqi, et al.
Published: (2023)

Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis
by: Wen, Haodong, et al.
Published: (2024)

Data-centric Graph Learning: A Survey
by: Guo, Yuxin, et al.
Published: (2023)

Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
by: Qin, Meng, et al.
Published: (2025)

Hierarchical-Graph-Structured Edge Partition Models for Learning Evolving Community Structure
by: Yu, Xincan, et al.
Published: (2024)

Repeat-Aware Neighbor Sampling for Dynamic Graph Learning
by: Zou, Tao, et al.
Published: (2024)

SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks
by: He, Enbo, et al.
Published: (2024)

GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
by: Lv, Rui, et al.
Published: (2025)

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes
by: Zhao, Yige, et al.
Published: (2023)

Prompt Learning on Temporal Interaction Graphs
by: Chen, Xi, et al.
Published: (2024)

Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks
by: Huang, Zhenhua, et al.
Published: (2024)

Bi-Level Graph Structure Learning for Next POI Recommendation
by: Wang, Liang, et al.
Published: (2024)

Incorporating Higher-order Structural Information for Graph Clustering
by: Li, Qiankun, et al.
Published: (2024)

Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
by: Li, Cheng-Te, et al.
Published: (2024)

SAHG: Sector-Anisotropic Hyperbolic Graph Model for Social Bot Detection
by: Lu, Hanning, et al.
Published: (2026)