Cover Image

Enhanced Traffic Flow Prediction with Multi-Segment Fusion Tensor Graph Convolutional Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Wei, Tang, Peng
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural Network Graph Similarity Computation Based on Graph Fusion
by: Chang, Zenghui, et al.
Published: (2025)

EnhancedRL: An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Recommender Systems
by: Liu, Peng, et al.
Published: (2024)

GraphFusionSBR: Denoising Multi-Channel Graphs for Session-Based Recommendation
by: He, Jia-Xin, et al.
Published: (2026)

Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
by: Zhang, Weizhi, et al.
Published: (2024)

THeGCN: Temporal Heterophilic Graph Convolutional Network
by: Yan, Yuchen, et al.
Published: (2024)

Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
by: Gholinejad, Nemat, et al.
Published: (2024)

MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search
by: Cheng, Peng, et al.
Published: (2024)

Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven
by: Zhang, Dandan, et al.
Published: (2024)

ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation
by: Zhou, Xiaofan, et al.
Published: (2026)

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

SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learning
by: Wang, Wenjun, et al.
Published: (2024)

Cluster-Enhanced Federated Graph Neural Network for Recommendation
by: Wang, Haiyan, et al.
Published: (2024)

SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data
by: Tao, Liang, et al.
Published: (2024)

Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model
by: Ouyang, Wentao, et al.
Published: (2024)

Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
by: Hu, Binbin, et al.
Published: (2024)

Rethinking Convolutional Networks for Attribute-Aware Sequential Recommendation
by: Elsayed, Shereen, et al.
Published: (2026)

Knowledge Graph Context-Enhanced Diversified Recommendation
by: Liu, Xiaolong, et al.
Published: (2023)

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

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

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

Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
by: Li, Shiwei, et al.
Published: (2022)

CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship
by: Lee, Yeon-Chang, et al.
Published: (2024)

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

UnifiedRL: A Reinforcement Learning Algorithm Tailored for Multi-Task Fusion in Large-Scale Recommender Systems
by: Liu, Peng, et al.
Published: (2024)

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

Generative-Contrastive Heterogeneous Graph Neural Network
by: Wang, Yu, et al.
Published: (2024)

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
by: Jeon, Dong Hyun, et al.
Published: (2025)

Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
by: Ghiye, Ashraf, et al.
Published: (2025)

MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
by: Qian, Hao, et al.
Published: (2024)

Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation
by: Xiao, Zhibo, et al.
Published: (2024)

Segment Discovery: Enhancing E-commerce Targeting
by: Li, Qiqi, et al.
Published: (2024)

Link Prediction with Physics-Inspired Graph Neural Networks
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2024)

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

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

Graph Topology Information Enhanced Heterogeneous Graph Representation Learning
by: Zhao, He, et al.
Published: (2026)

SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests
by: Zhou, Wei, et al.
Published: (2026)

P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
by: Wang, Zheng, et al.
Published: (2024)

Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks
by: Shen, Junhao, et al.
Published: (2024)

Linear-Time Graph Neural Networks for Scalable Recommendations
by: Zhang, Jiahao, et al.
Published: (2024)

Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems
by: Gu, Hongjian, et al.
Published: (2023)