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20242026
most citedEnhancing Graph Collaborative Filtering with FourierKAN Feature Transformation

23 citations · 26 across the 6 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CV2025

OVG-HQ: Online Video Grounding with Hybrid-modal Queries

Runhao Zeng, Jiaqi Mao, Minghao Lai +5

Video grounding (VG) task focuses on locating specific moments in a video based on a query, usually in text form. However, traditional VG struggles with some scenarios like streami…

cs.IR2025

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation

Jinfeng Xu, Zheyu Chen, Shuo Yang +5

Graph Neural Networks (GNNs) are widely used in collaborative filtering to capture high-order user-item relationships. To address the data sparsity problem in recommendation system…

cs.IR2025★ 1 cited

COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation

Jinfeng Xu, Zheyu Chen, Wei Wang +3

Recent works in multimodal recommendations, which leverage diverse modal information to address data sparsity and enhance recommendation accuracy, have garnered considerable intere…

cs.CV2025

Deep Robust Reversible Watermarking

Jiale Chen, Wei Wang, Chongyang Shi +3

Robust Reversible Watermarking (RRW) enables perfect recovery of cover images and watermarks in lossless channels while ensuring robust watermark extraction in lossy channels. Exis…

cs.IR2025★ 2 cited

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Jinfeng Xu, Zheyu Chen, Shuo Yang +5

Acquiring valuable data from the rapidly expanding information on the internet has become a significant concern, and recommender systems have emerged as a widely used and effective…