Cover Image

Parallel and Multi-Stage Knowledge Graph Retrieval for Behaviorally Aligned Financial Asset Recommendations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Spadea, Fernando, Seneviratne, Oshani
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Avoiding Over-Personalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations
by: Spadea, Fernando, et al.
Published: (2025)

Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendations
by: Spadea, Fernando, et al.
Published: (2026)

Aligning Language Models with Investor and Market Behavior for Financial Recommendations
by: Spadea, Fernando, et al.
Published: (2025)

A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization
by: Wang, Tangtang, et al.
Published: (2025)

Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
by: Li, Chen, et al.
Published: (2023)

TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation
by: Li, Zhaoxing, et al.
Published: (2025)

Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval
by: Polonuer, Joaquín, et al.
Published: (2026)

Faithful Path Language Modeling for Explainable Recommendation over Knowledge Graph
by: Balloccu, Giacomo, et al.
Published: (2023)

RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs
by: Sun, Zhongtian, et al.
Published: (2025)

SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
by: Li, Zihao, et al.
Published: (2024)

An Efficient Recommendation Model Based on Knowledge Graph Attention-Assisted Network (KGATAX)
by: Wu, Zhizhong
Published: (2024)

No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval
by: Guo, Lixuan, et al.
Published: (2026)

LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation
by: Xiong, Lee, et al.
Published: (2026)

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases
by: Lei, Yongjia, et al.
Published: (2025)

TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG
by: Kashmira, Savini, et al.
Published: (2024)

KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?
by: Zhang, Haonan, et al.
Published: (2024)

Aligning Dense Retrievers with LLM Utility via Distillation
by: Sandhu, Rajinder, et al.
Published: (2026)

CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs
by: Sun, Yi, et al.
Published: (2024)

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
by: Färber, Michael, et al.
Published: (2025)

Modeling Behavioral Intensity and Transitions for Generative Recommendation
by: Yang, Wenxuan, et al.
Published: (2026)

A Knowledge Graph-based Retrieval-Augmented Generation Framework for Algorithm Selection in the Facility Layout Problem
by: S, Nikhil N, et al.
Published: (2025)

Hgformer: Hyperbolic Graph Transformer for Recommendation
by: Yang, Xin, et al.
Published: (2024)

Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
by: Dong, Hao, et al.
Published: (2025)

Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
by: Liu, Guangyi, et al.
Published: (2024)

Review of Explainable Graph-Based Recommender Systems
by: Markchom, Thanet, et al.
Published: (2024)

Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations
by: Hsu, Hung-Chun, et al.
Published: (2025)

Rank and Align: Towards Effective Source-free Graph Domain Adaptation
by: Luo, Junyu, et al.
Published: (2024)

LightGNN: Simple Graph Neural Network for Recommendation
by: Chen, Guoxuan, et al.
Published: (2025)

Graph Foundation Models for Recommendation: A Comprehensive Survey
by: Wu, Bin, et al.
Published: (2025)

RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
by: Choi, Jeongwhan, et al.
Published: (2023)

RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation
by: Li, Shijun, et al.
Published: (2026)

DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
by: Liu, Sicen, et al.
Published: (2023)

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
by: Han, Xiao, et al.
Published: (2024)

Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System
by: Zhang, Jiang, et al.
Published: (2026)

End-to-End Graph-Sequential Representation Learning for Accurate Recommendations
by: Baikalov, Vladimir, et al.
Published: (2024)

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
by: Zhao, Chu, et al.
Published: (2024)

LARGER: Lexically Anchored Repository Graph Exploration and Retrieval
by: Hu, Yuntong, et al.
Published: (2026)

Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
by: Zhu, Zhangchi, et al.
Published: (2024)

Impression-Aware Recommender Systems
by: Maurera, Fernando B. Pérez, et al.
Published: (2023)

Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation
by: Wang, Leyao, et al.
Published: (2025)