Similar Items
SynerGraph: An Integrated Graph Convolution Network for Multimodal Recommendation
by: Burabak, Mert, et al.
Published: (2024)
by: Burabak, Mert, et al.
Published: (2024)
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation
by: Wu, Guowei, et al.
Published: (2024)
by: Wu, Guowei, et al.
Published: (2024)
Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation
by: Sang, Lei, et al.
Published: (2024)
by: Sang, Lei, et al.
Published: (2024)
Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
by: Wu, Yihong, et al.
Published: (2024)
by: Wu, Yihong, et al.
Published: (2024)
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
by: Cheng, Zhiyong, et al.
Published: (2024)
by: Cheng, Zhiyong, et al.
Published: (2024)
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks
by: Zhang, Yijie, et al.
Published: (2024)
by: Zhang, Yijie, et al.
Published: (2024)
Combining social relations and interaction data in Recommender System with Graph Convolution Collaborative Filtering
by: Tran, Tin T., et al.
Published: (2025)
by: Tran, Tin T., et al.
Published: (2025)
IA-GCN: Interactive Graph Convolutional Network for Recommendation
by: Zhang, Yinan, et al.
Published: (2022)
by: Zhang, Yinan, et al.
Published: (2022)
SWGCN: Synergy Weighted Graph Convolutional Network for Multi-Behavior Recommendation
by: Chen, Fangda, et al.
Published: (2026)
by: Chen, Fangda, et al.
Published: (2026)
QAGCF: Graph Collaborative Filtering for Q&A Recommendation
by: Zhang, Changshuo, et al.
Published: (2024)
by: Zhang, Changshuo, et al.
Published: (2024)
HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation
by: Yin, Yabo, et al.
Published: (2024)
by: Yin, Yabo, et al.
Published: (2024)
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
by: Huang, Junjie, et al.
Published: (2024)
by: Huang, Junjie, et al.
Published: (2024)
Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation
by: Sang, Lei, et al.
Published: (2025)
by: Sang, Lei, et al.
Published: (2025)
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, et al.
Published: (2025)
Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators
by: Zhang, Hengyu, et al.
Published: (2024)
by: Zhang, Hengyu, et al.
Published: (2024)
Light distillation for Incremental Graph Convolution Collaborative Filtering
by: Fan, X, et al.
Published: (2025)
by: Fan, X, et al.
Published: (2025)
Non-parametric Graph Convolution for Re-ranking in Recommendation Systems
by: Ouyang, Zhongyu, et al.
Published: (2025)
by: Ouyang, Zhongyu, et al.
Published: (2025)
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
by: Gholinejad, Nemat, et al.
Published: (2024)
by: Gholinejad, Nemat, et al.
Published: (2024)
Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation
by: Ong, Rongqing Kenneth, et al.
Published: (2024)
by: Ong, Rongqing Kenneth, et al.
Published: (2024)
RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
by: Wu, Renzhi, et al.
Published: (2025)
by: Wu, Renzhi, et al.
Published: (2025)
Hgformer: Hyperbolic Graph Transformer for Recommendation
by: Yang, Xin, et al.
Published: (2024)
by: Yang, Xin, et al.
Published: (2024)
Graph-based Recommendation for Sparse and Heterogeneous User Interactions
by: Bruun, Simone Borg, et al.
Published: (2023)
by: Bruun, Simone Borg, et al.
Published: (2023)
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
by: Wu, Wei, et al.
Published: (2024)
by: Wu, Wei, et al.
Published: (2024)
GraphTransfer: A Generic Feature Fusion Framework for Collaborative Filtering
by: Xia, Jiafeng, et al.
Published: (2024)
by: Xia, Jiafeng, et al.
Published: (2024)
The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, 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)
TIMBRE: Efficient Job Recommendation On Heterogeneous Graphs For Professional Recruiters
by: Behar, Eric, et al.
Published: (2024)
by: Behar, Eric, et al.
Published: (2024)
Generative-Contrastive Heterogeneous Graph Neural Network
by: Wang, Yu, et al.
Published: (2024)
by: Wang, Yu, et al.
Published: (2024)
Graph Cross-Correlated Network for Recommendation
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation
by: Huang, Tao, et al.
Published: (2025)
by: Huang, Tao, et al.
Published: (2025)
MixRec: Heterogeneous Graph Collaborative Filtering
by: Xia, Lianghao, et al.
Published: (2024)
by: Xia, Lianghao, et al.
Published: (2024)
Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation
by: Peng, Bo, et al.
Published: (2023)
by: Peng, Bo, et al.
Published: (2023)
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning
by: Guan, Zhong, et al.
Published: (2024)
by: Guan, Zhong, et al.
Published: (2024)
Graph Bottlenecked Social Recommendation
by: Yang, Yonghui, et al.
Published: (2024)
by: Yang, Yonghui, et al.
Published: (2024)
A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation
by: Lai, Weijiang, et al.
Published: (2024)
by: Lai, Weijiang, et al.
Published: (2024)
Leveraging LLMs and Heterogeneous Knowledge Graphs for Persona-Driven Session-Based Recommendation
by: Gupta, Muskan, et al.
Published: (2026)
by: Gupta, Muskan, et al.
Published: (2026)
DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation
by: Zheng, Ruiqi, et al.
Published: (2024)
by: Zheng, Ruiqi, et al.
Published: (2024)
Frequency-aware Graph Signal Processing for Collaborative Filtering
by: Xia, Jiafeng, et al.
Published: (2024)
by: Xia, Jiafeng, et al.
Published: (2024)
Improvement Graph Convolution Collaborative Filtering with Weighted addition input
by: Tran, Tin T., et al.
Published: (2025)
by: Tran, Tin T., et al.
Published: (2025)
Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty
by: Li, Haoxuan, et al.
Published: (2024)
by: Li, Haoxuan, et al.
Published: (2024)
Similar Items
-
SynerGraph: An Integrated Graph Convolution Network for Multimodal Recommendation
by: Burabak, Mert, et al.
Published: (2024) -
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation
by: Wu, Guowei, et al.
Published: (2024) -
Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation
by: Sang, Lei, et al.
Published: (2024) -
Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
by: Wu, Yihong, et al.
Published: (2024) -
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
by: Cheng, Zhiyong, et al.
Published: (2024)