Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Juzheng, Wei, Lanning, Xu, Zhen, Yao, Quanming |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
by: Liu, Guangyi, et al.
Published: (2024)
by: Liu, Guangyi, et al.
Published: (2024)
PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching
by: Du, Haotong, et al.
Published: (2025)
by: Du, Haotong, et al.
Published: (2025)
Refined Edge Usage of Graph Neural Networks for Edge Prediction
by: Jin, Jiarui, et al.
Published: (2022)
by: Jin, Jiarui, et al.
Published: (2022)
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling
by: Xing, Jinming, et al.
Published: (2024)
by: Xing, Jinming, et al.
Published: (2024)
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
by: Wu, Yiqing, et al.
Published: (2024)
by: Wu, Yiqing, et al.
Published: (2024)
An Interpretable Alternative to Neural Representation Learning for Rating Prediction -- Transparent Latent Class Modeling of User Reviews
by: Serra, Giuseppe, et al.
Published: (2024)
by: Serra, Giuseppe, 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)
by: Li, Cheng-Te, et al.
Published: (2024)
Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
by: Dai, Yanjun, et al.
Published: (2025)
by: Dai, Yanjun, et al.
Published: (2025)
GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction
by: Lin, Zhijie, et al.
Published: (2025)
by: Lin, Zhijie, et al.
Published: (2025)
Few-shot Link Prediction on N-ary Facts
by: Wei, Jiyao, et al.
Published: (2023)
by: Wei, Jiyao, et al.
Published: (2023)
Scalable Neural Network Training over Distributed Graphs
by: Kolluri, Aashish, et al.
Published: (2023)
by: Kolluri, Aashish, et al.
Published: (2023)
LightGNN: Simple Graph Neural Network for Recommendation
by: Chen, Guoxuan, et al.
Published: (2025)
by: Chen, Guoxuan, et al.
Published: (2025)
Isotonic Layer: A Unified Framework for Recommendation Calibration and Debiasing
by: Cheng, Hailing, et al.
Published: (2026)
by: Cheng, Hailing, et al.
Published: (2026)
Learning Unified User Quantized Tokenizers for User Representation
by: He, Chuan, et al.
Published: (2025)
by: He, Chuan, et al.
Published: (2025)
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
by: Wang, Ruize, et al.
Published: (2024)
by: Wang, Ruize, et al.
Published: (2024)
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules
by: Sun, Ye, et al.
Published: (2024)
by: Sun, Ye, et al.
Published: (2024)
Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
by: Li, Xiping, et al.
Published: (2025)
by: Li, Xiping, et al.
Published: (2025)
A Comprehensive Survey on Deep Graph Representation Learning
by: Ju, Wei, et al.
Published: (2023)
by: Ju, Wei, et al.
Published: (2023)
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
by: Färber, Michael, et al.
Published: (2025)
by: Färber, Michael, et al.
Published: (2025)
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems
by: Ahn, Yongsu, et al.
Published: (2023)
by: Ahn, Yongsu, et al.
Published: (2023)
Distilled Neural Networks for Efficient Learning to Rank
by: Nardini, F. M., et al.
Published: (2022)
by: Nardini, F. M., et al.
Published: (2022)
Semantic Search At LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2026)
by: Borisyuk, Fedor, et al.
Published: (2026)
Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
by: Guidotti, Sabrina, et al.
Published: (2024)
by: Guidotti, Sabrina, et al.
Published: (2024)
Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning
by: Le, Ngoc Luyen, et al.
Published: (2025)
by: Le, Ngoc Luyen, et al.
Published: (2025)
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation
by: Zhang, Jinyu, et al.
Published: (2025)
by: Zhang, Jinyu, et al.
Published: (2025)
A Versatile Graph Learning Approach through LLM-based Agent
by: Wei, Lanning, et al.
Published: (2023)
by: Wei, Lanning, et al.
Published: (2023)
Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation
by: Zhang, Jinyu, et al.
Published: (2024)
by: Zhang, Jinyu, et al.
Published: (2024)
A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization
by: Wang, Tangtang, et al.
Published: (2025)
by: Wang, Tangtang, et al.
Published: (2025)
A Distance Metric Learning Model Based On Variational Information Bottleneck
by: Zhang, YaoDan, et al.
Published: (2024)
by: Zhang, YaoDan, et al.
Published: (2024)
XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation
by: Li, Zhuoling, et al.
Published: (2026)
by: Li, Zhuoling, et al.
Published: (2026)
InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction
by: Zeng, Zhichen, et al.
Published: (2024)
by: Zeng, Zhichen, et al.
Published: (2024)
Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation
by: Chung, Chanyoung, et al.
Published: (2025)
by: Chung, Chanyoung, et al.
Published: (2025)
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
by: Li, Chen, et al.
Published: (2023)
by: Li, Chen, et al.
Published: (2023)
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval
by: Hwang, Dae Yon, et al.
Published: (2024)
by: Hwang, Dae Yon, et al.
Published: (2024)
Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction
by: Wu, Yi, et al.
Published: (2024)
by: Wu, Yi, et al.
Published: (2024)
Disentangled Interest Network for Out-of-Distribution CTR Prediction
by: Zheng, Yu, et al.
Published: (2025)
by: Zheng, Yu, et al.
Published: (2025)
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction
by: Shi, Yunxiao, et al.
Published: (2024)
by: Shi, Yunxiao, et al.
Published: (2024)
A Knowledge Graph-based Retrieval-Augmented Generation Framework for Algorithm Selection in the Facility Layout Problem
by: S, Nikhil N, et al.
Published: (2025)
by: S, Nikhil N, et al.
Published: (2025)
Similar Items
-
Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
by: Liu, Guangyi, et al.
Published: (2024) -
PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching
by: Du, Haotong, et al.
Published: (2025) -
Refined Edge Usage of Graph Neural Networks for Edge Prediction
by: Jin, Jiarui, et al.
Published: (2022) -
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling
by: Xing, Jinming, et al.
Published: (2024) -
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
by: Wu, Yiqing, et al.
Published: (2024)