17 citations · 25 across the 5 of their papers we have counts for
5 papers
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
Weidi Xu, Jingwei Wang, Lele Xie +7
Integrating first-order logic constraints (FOLCs) with neural networks is a crucial but challenging problem since it involves modeling intricate correlations to satisfy the constra…
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks
Lei Zhang, Xiaodong Yan, Jianshan He +2
Graph convolutional networks (GCNs) have been proved to be very practical to handle various graph-related tasks. It has attracted considerable research interest to study deep GCNs,…
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors
Linlin Chao, Jianshan He, Taifeng Wang +1
Distance based knowledge graph embedding methods show promising results on link prediction task, on which two topics have been widely studied: one is the ability to handle complex…
Reinforcement Learning for Uplift Modeling
Chenchen Li, Xiang Yan, Xiaotie Deng +6
Uplift modeling aims to directly model the incremental impact of a treatment on an individual response. In this work, we address the problem from a new angle and reformulate it as…
Latent Dirichlet Allocation for Internet Price War
Chenchen Li, Xiang Yan, Xiaotie Deng +6
Internet market makers are always facing intense competitive environment, where personalized price reductions or discounted coupons are provided for attracting more customers. Part…