activity
20212023
most citedMulti-behavior Self-supervised Learning for Recommendation

79 citations · 80 across the 6 of their papers we have counts for

collaborators

6 papers

math.DG2023

Willmore surfaces in 4-dimensional conformal manifolds

Changping Wang, Zhenxiao Xie

This paper is dedicated to the exploration of the conformal Willmore functional for surfaces within 4-dimensional conformal manifolds. We provide a detailed calculation of both the…

cs.IR2023

Instant Representation Learning for Recommendation over Large Dynamic Graphs

Cheng Wu, Chaokun Wang, Jingcao Xu +7

Recommender systems are able to learn user preferences based on user and item representations via their historical behaviors. To improve representation learning, recent recommendat…

cs.IR2023★ 79 cited

Multi-behavior Self-supervised Learning for Recommendation

Jingcao Xu, Chaokun Wang, Cheng Wu +6

Modern recommender systems often deal with a variety of user interactions, e.g., click, forward, purchase, etc., which requires the underlying recommender engines to fully understa…

math.DG2022

Möbius Homogeneous Hypersurfaces in

Tongzhu Li, Xiang Ma, Changping Wang +1

Let denote the Möbius transformation group of the -dimensional sphere . A hypersurface is called…

cs.LG2022

HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks

Tiankai Gu, Chaokun Wang, Cheng Wu +6

Recently, graph neural networks have shown the superiority of modeling the complex topological structures in heterogeneous network-based recommender systems. Due to the diverse int…

cs.LG2021★ 1 cited

Expanding Semantic Knowledge for Zero-shot Graph Embedding

Zheng Wang, Ruihang Shao, Changping Wang +3

Zero-shot graph embedding is a major challenge for supervised graph learning. Although a recent method RECT has shown promising performance, its working mechanisms are not clear an…