Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
Fuente:
arXiv
Guardado en:
| Autores principales: | Ghiye, Ashraf, Barreau, Baptiste, Carlier, Laurent, Vazirgiannis, Michalis |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
THeGCN: Temporal Heterophilic Graph Convolutional Network
por: Yan, Yuchen, et al.
Publicado: (2024)
por: Yan, Yuchen, et al.
Publicado: (2024)
Bitcoin Research with a Transaction Graph Dataset
por: Schnoering, Hugo, et al.
Publicado: (2024)
por: Schnoering, Hugo, et al.
Publicado: (2024)
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
por: Qian, Hao, et al.
Publicado: (2024)
por: Qian, Hao, et al.
Publicado: (2024)
P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
por: Wang, Zheng, et al.
Publicado: (2024)
por: Wang, Zheng, et al.
Publicado: (2024)
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
por: Zhang, Weizhi, et al.
Publicado: (2024)
por: Zhang, Weizhi, et al.
Publicado: (2024)
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation
por: Tang, Xing, et al.
Publicado: (2025)
por: Tang, Xing, et al.
Publicado: (2025)
Consumer Transactions Simulation through Generative Adversarial Networks
por: Tkachuk, Sergiy, et al.
Publicado: (2024)
por: Tkachuk, Sergiy, et al.
Publicado: (2024)
HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation
por: Yin, Yabo, et al.
Publicado: (2024)
por: Yin, Yabo, et al.
Publicado: (2024)
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
por: Gholinejad, Nemat, et al.
Publicado: (2024)
por: Gholinejad, Nemat, et al.
Publicado: (2024)
IA-GCN: Interactive Graph Convolutional Network for Recommendation
por: Zhang, Yinan, et al.
Publicado: (2022)
por: Zhang, Yinan, et al.
Publicado: (2022)
Knowledge Graph Context-Enhanced Diversified Recommendation
por: Liu, Xiaolong, et al.
Publicado: (2023)
por: Liu, Xiaolong, et al.
Publicado: (2023)
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
por: Hu, Binbin, et al.
Publicado: (2024)
por: Hu, Binbin, et al.
Publicado: (2024)
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
por: Li, Chen, et al.
Publicado: (2023)
por: Li, Chen, et al.
Publicado: (2023)
Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation
por: Que, Yue, et al.
Publicado: (2025)
por: Que, Yue, et al.
Publicado: (2025)
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
por: Zhang, Qianru, et al.
Publicado: (2024)
por: Zhang, Qianru, et al.
Publicado: (2024)
Cluster-Enhanced Federated Graph Neural Network for Recommendation
por: Wang, Haiyan, et al.
Publicado: (2024)
por: Wang, Haiyan, et al.
Publicado: (2024)
Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL
por: Jatavallabha, Aravinda, et al.
Publicado: (2025)
por: Jatavallabha, Aravinda, et al.
Publicado: (2025)
Rethinking Convolutional Networks for Attribute-Aware Sequential Recommendation
por: Elsayed, Shereen, et al.
Publicado: (2026)
por: Elsayed, Shereen, et al.
Publicado: (2026)
Enhanced Traffic Flow Prediction with Multi-Segment Fusion Tensor Graph Convolutional Networks
por: Zhang, Wei, et al.
Publicado: (2024)
por: Zhang, Wei, et al.
Publicado: (2024)
SPGL: Enhancing Session-based Recommendation with Single Positive Graph Learning
por: Liang, Tiantian, et al.
Publicado: (2024)
por: Liang, Tiantian, et al.
Publicado: (2024)
CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements
por: Zhang, Yang, et al.
Publicado: (2025)
por: Zhang, Yang, et al.
Publicado: (2025)
Graph Augmentation for Recommendation
por: Zhang, Qianru, et al.
Publicado: (2024)
por: Zhang, Qianru, et al.
Publicado: (2024)
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation
por: Long, Junfeng, et al.
Publicado: (2024)
por: Long, Junfeng, et al.
Publicado: (2024)
LightGNN: Simple Graph Neural Network for Recommendation
por: Chen, Guoxuan, et al.
Publicado: (2025)
por: Chen, Guoxuan, et al.
Publicado: (2025)
Improving Retrieval for RAG based Question Answering Models on Financial Documents
por: Setty, Spurthi, et al.
Publicado: (2024)
por: Setty, Spurthi, et al.
Publicado: (2024)
Tourism destination events classifier based on artificial intelligence techniques
por: Camacho-Ruiz, Miguel, et al.
Publicado: (2024)
por: Camacho-Ruiz, Miguel, et al.
Publicado: (2024)
VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
por: Nguyen, Minh-Anh, et al.
Publicado: (2025)
por: Nguyen, Minh-Anh, et al.
Publicado: (2025)
Detection of financial opportunities in micro-blogging data with a stacked classification system
por: de Arriba-Pérez, Francisco, et al.
Publicado: (2024)
por: de Arriba-Pérez, Francisco, et al.
Publicado: (2024)
CSRec: Rethinking Sequential Recommendation from A Causal Perspective
por: Liu, Xiaoyu, et al.
Publicado: (2024)
por: Liu, Xiaoyu, et al.
Publicado: (2024)
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
por: Tan, Shiyin, et al.
Publicado: (2025)
por: Tan, Shiyin, et al.
Publicado: (2025)
Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation
por: Kannen, Nithish, et al.
Publicado: (2024)
por: Kannen, Nithish, et al.
Publicado: (2024)
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation
por: Wang, Siyu, et al.
Publicado: (2025)
por: Wang, Siyu, et al.
Publicado: (2025)
A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns
por: Sharma, Vibhhu, et al.
Publicado: (2024)
por: Sharma, Vibhhu, et al.
Publicado: (2024)
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation
por: Zhang, Jinyu, et al.
Publicado: (2025)
por: Zhang, Jinyu, et al.
Publicado: (2025)
SplitLight: An Exploratory Toolkit for Recommender Systems Datasets and Splits
por: Volodkevich, Anna, et al.
Publicado: (2026)
por: Volodkevich, Anna, et al.
Publicado: (2026)
Causal Feature Selection Method for Contextual Multi-Armed Bandits in Recommender System
por: Zhao, Zhenyu, et al.
Publicado: (2024)
por: Zhao, Zhenyu, et al.
Publicado: (2024)
RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
por: Wu, Renzhi, et al.
Publicado: (2025)
por: Wu, Renzhi, et al.
Publicado: (2025)
Graph Neural Network for Product Recommendation on the Amazon Co-purchase Graph
por: Cao, Mengyang, et al.
Publicado: (2025)
por: Cao, Mengyang, et al.
Publicado: (2025)
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
por: Kim, Chanwoo, et al.
Publicado: (2025)
por: Kim, Chanwoo, et al.
Publicado: (2025)
Mixed Supervised Graph Contrastive Learning for Recommendation
por: Zhang, Weizhi, et al.
Publicado: (2024)
por: Zhang, Weizhi, et al.
Publicado: (2024)
Ejemplares similares
-
THeGCN: Temporal Heterophilic Graph Convolutional Network
por: Yan, Yuchen, et al.
Publicado: (2024) -
Bitcoin Research with a Transaction Graph Dataset
por: Schnoering, Hugo, et al.
Publicado: (2024) -
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
por: Qian, Hao, et al.
Publicado: (2024) -
P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
por: Wang, Zheng, et al.
Publicado: (2024) -
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
por: Zhang, Weizhi, et al.
Publicado: (2024)