activity
20202026
most citedLabeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning

59 citations · 71 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

CHAMP: Cross-domain Hybrid Architecture for Matchmaking and Prediction in Online Multi-Player Games

Kai Wang, Ge Fan, Chaoyun Zhang +2

Multiplayer Online Battle Arena (MOBA) games rely on matchmaking to maintain competitive balance. Our prior work, CUPID, framed matchmaking as an assignment re-optimization problem…

cs.HC2024★ 1 cited

CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System

Ge Fan, Chaoyun Zhang, Kai Wang +3

The multiplayer online battle arena (MOBA) genre has gained significant popularity and economic success, attracting considerable research interest within the Human-Computer Interac…

cs.IR2022★ 11 cited

MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation

Ge Fan, Chaoyun Zhang, Kai Wang +1

Industrial recommender systems usually employ multi-source data to improve the recommendation quality, while effectively sharing information between different data sources remain a…

cs.AI2020

AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction

Kai Wang, Chunxu Shen, Chaoyun Zhang Wenye Ma

In this paper, we consider the Click-Through-Rate (CTR) prediction problem. Factorization Machines and their variants consider pair-wise feature interactions, but normally we won't…

cs.LG2020★ 59 cited

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning

Muhan Zhang, Pan Li, Yinglong Xia +2

In this paper, we provide a theory of using graph neural networks (GNNs) for multi-node representation learning (where we are interested in learning a representation for a set of m…