Search Results for author: Yanping Zheng

Found 5 papers, 2 papers with code

QAGCF: Graph Collaborative Filtering for Q&A Recommendation

no code implementations7 Jun 2024 Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu, Ji-Rong Wen

Traditional recommendation methods treat the question-answer pair as a whole or only consider the answer as a single item, which overlooks the two challenges and cannot effectively model user interests.

Collaborative Filtering Contrastive Learning +1

A survey of dynamic graph neural networks

no code implementations28 Apr 2024 Yanping Zheng, Lu Yi, Zhewei Wei

Graph neural networks (GNNs) have emerged as a powerful tool for effectively mining and learning from graph-structured data, with applications spanning numerous domains.

GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation

1 code implementation6 Nov 2023 Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu

Vision Transformers (ViTs) have revolutionized the field of computer vision, yet their deployments on resource-constrained devices remain challenging due to high computational demands.

Efficient ViTs

Decoupled Graph Neural Networks for Large Dynamic Graphs

1 code implementation14 May 2023 Yanping Zheng, Zhewei Wei, Jiajun Liu

The experimental results demonstrate that our algorithm achieves state-of-the-art performance in both kinds of dynamic graphs.

Graph Neural Network Recommendation Systems

Instant Graph Neural Networks for Dynamic Graphs

no code implementations3 Jun 2022 Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang

With the development of numerous GNN variants, recent years have witnessed groundbreaking results in improving the scalability of GNNs to work on static graphs with millions of nodes.

Graph Neural Network

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