Copertina

LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Siqing, Park, Jin-Duk, Huang, Wei, Cao, Xin, Shin, Won-Yong, Xu, Zhiqiang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Social and Information Networks
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation
di: Park, Jin-Duk, et al.
Pubblicazione: (2024)

Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation
di: Park, Jin-Duk, et al.
Pubblicazione: (2025)

Centrality-Based Node Feature Augmentation for Robust Network Alignment
di: Park, Jin-Duk, et al.
Pubblicazione: (2023)

Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding
di: Park, Jongmin, et al.
Pubblicazione: (2025)

Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint
di: Shin, Yong-Min, et al.
Pubblicazione: (2024)

Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
di: Hou, Yu, et al.
Pubblicazione: (2024)

Training-free Adjustable Polynomial Graph Filtering for Ultra-fast Multimodal Recommendation
di: Roh, Yu-Seung, et al.
Pubblicazione: (2025)

Leveraging Member-Group Relations via Multi-View Graph Filtering for Effective Group Recommendation
di: Kim, Chae-Hyun, et al.
Pubblicazione: (2025)

Hyperbolic Heterogeneous Graph Transformer
di: Park, Jongmin, et al.
Pubblicazione: (2026)

On the Feasibility of Fidelity$^-$ for Graph Pruning
di: Shin, Yong-Min, et al.
Pubblicazione: (2024)

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

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
di: Liu, Yonghao, et al.
Pubblicazione: (2024)

PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks
di: Shin, Yong-Min, et al.
Pubblicazione: (2022)

CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems
di: Park, Jin-Duk, et al.
Pubblicazione: (2024)

CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection
di: Chen, Sirry, et al.
Pubblicazione: (2024)

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

A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty
di: Hou, Yu, et al.
Pubblicazione: (2023)

Learning To Sample the Meta-Paths for Social Event Detection
di: Ma, Congbo, et al.
Pubblicazione: (2024)

Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization
di: Hou, Yu, et al.
Pubblicazione: (2025)

EvoPath: Evolutionary Meta-path Discovery with Large Language Models for Complex Heterogeneous Information Networks
di: Liu, Shixuan, et al.
Pubblicazione: (2025)

GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling
di: Ju, Wei, et al.
Pubblicazione: (2024)

Tokenize Once, Recommend Anywhere: Unified Item Tokenization for Multi-domain LLM-based Recommendation
di: Hou, Yu, et al.
Pubblicazione: (2025)

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations
di: Guo, Linxin, et al.
Pubblicazione: (2024)

When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning
di: Shen, Zhixiang, et al.
Pubblicazione: (2024)

Masked Language Models are Good Heterogeneous Graph Generalizers
di: Yang, Jinyu, et al.
Pubblicazione: (2025)

Community-Invariant Graph Contrastive Learning
di: Tan, Shiyin, et al.
Pubblicazione: (2024)

DyGCL: Dynamic Graph Contrastive Learning For Event Prediction
di: Islam, Muhammed Ifte Khairul, et al.
Pubblicazione: (2024)

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning
di: Yang, Haoran, et al.
Pubblicazione: (2024)

SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection
di: Yang, Yingguang, et al.
Pubblicazione: (2024)

Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs
di: Zheng, Ziyu, et al.
Pubblicazione: (2025)

IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology
di: Tran, Cong, et al.
Pubblicazione: (2021)

Robust Graph Contrastive Learning with Information Restoration
di: Zhu, Yulin, et al.
Pubblicazione: (2023)

Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
di: Lee, Dongjin, et al.
Pubblicazione: (2023)

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
di: Gastinger, Julia, et al.
Pubblicazione: (2024)

Contrastive Cascade Graph Learning for Classifying Real and Synthetic Information Diffusion Patterns
di: Shibao, Naoki, et al.
Pubblicazione: (2025)

Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering
di: Peng, Liang, et al.
Pubblicazione: (2025)

High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs
di: Zhang, Peiyan, et al.
Pubblicazione: (2024)

Genomic-Informed Heterogeneous Graph Learning for Spatiotemporal Avian Influenza Outbreak Forecasting
di: Du, Jing, et al.
Pubblicazione: (2025)

Graph Contrastive Invariant Learning from the Causal Perspective
di: Mo, Yanhu, et al.
Pubblicazione: (2024)

Signed Graph Representation Learning: A Survey
di: Zhang, Zeyu, et al.
Pubblicazione: (2024)