Copertina

Scalable Neural Network Training over Distributed Graphs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kolluri, Aashish, Choudhary, Sarthak, Hooi, Bryan, Saxena, Prateek
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Artificial Intelligence Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Attacking Byzantine Robust Aggregation in High Dimensions
di: Choudhary, Sarthak, et al.
Pubblicazione: (2023)

Towards A Unified View of Answer Calibration for Multi-Step Reasoning
di: Deng, Shumin, et al.
Pubblicazione: (2023)

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

Refined Edge Usage of Graph Neural Networks for Edge Prediction
di: Jin, Jiarui, et al.
Pubblicazione: (2022)

Information Extraction in Low-Resource Scenarios: Survey and Perspective
di: Deng, Shumin, et al.
Pubblicazione: (2022)

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
di: Wu, Yiqing, et al.
Pubblicazione: (2024)

Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction
di: Zhang, Juzheng, et al.
Pubblicazione: (2024)

Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
di: Dai, Yanjun, et al.
Pubblicazione: (2025)

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

Synthetic Prefixes to Mitigate Bias in Real-Time Neural Query Autocomplete
di: Rajan, Adithya, et al.
Pubblicazione: (2025)

Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
di: Li, Xiping, et al.
Pubblicazione: (2025)

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

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

Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains
di: Chaturvedi, Sarthak, et al.
Pubblicazione: (2025)

Disentangled Interest Network for Out-of-Distribution CTR Prediction
di: Zheng, Yu, et al.
Pubblicazione: (2025)

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

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

Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
di: Guidotti, Sabrina, et al.
Pubblicazione: (2024)

Weightless Neural Networks for Continuously Trainable Personalized Recommendation Systems
di: Latif, Rafayel, et al.
Pubblicazione: (2025)

On Storage Neural Network Augmented Approximate Nearest Neighbor Search
di: Ikeda, Taiga, et al.
Pubblicazione: (2025)

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
di: Ju, Wei, et al.
Pubblicazione: (2024)

Graph Hopfield Networks: Energy-Based Node Classification with Associative Memory
di: Rao, Abinav, et al.
Pubblicazione: (2026)

Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendation
di: Hoang, Thi Linh, et al.
Pubblicazione: (2024)

Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling
di: Xing, Jinming, et al.
Pubblicazione: (2024)

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

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

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
di: Ju, Wei, et al.
Pubblicazione: (2024)

Automating Steering for Safe Multimodal Large Language Models
di: Wu, Lyucheng, et al.
Pubblicazione: (2025)

LINK-KG: LLM-Driven Coreference-Resolved Knowledge Graphs for Human Smuggling Networks
di: Meher, Dipak, et al.
Pubblicazione: (2025)

Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation
di: Zhang, Jinyu, et al.
Pubblicazione: (2025)

Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning
di: Le, Ngoc Luyen, et al.
Pubblicazione: (2025)

Neurosymbolic Retrievers for Retrieval-augmented Generation
di: Saxena, Yash, et al.
Pubblicazione: (2026)

Influence Maximization via Graph Neural Bandits
di: Feng, Yuting, et al.
Pubblicazione: (2024)

Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
di: Öztürk, Sümeyye, et al.
Pubblicazione: (2024)

DiffGraph: Heterogeneous Graph Diffusion Model
di: Li, Zongwei, et al.
Pubblicazione: (2025)

Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation
di: Zhang, Jinyu, et al.
Pubblicazione: (2024)

Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention
di: Xu, Rengan, et al.
Pubblicazione: (2024)

Distilled Neural Networks for Efficient Learning to Rank
di: Nardini, F. M., et al.
Pubblicazione: (2022)

GraphFM: Graph Factorization Machines for Feature Interaction Modeling
di: Wu, Shu, et al.
Pubblicazione: (2021)

Orchestrating Heterogeneous Experts: A Scalable MoE Framework with Anisotropy-Preserving Fusion
di: Liu, Ye, et al.
Pubblicazione: (2025)