Search Results for author: Jianshan He

Found 8 papers, 6 papers with code

LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints

1 code implementation27 Sep 2023 Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu

Integrating first-order logic constraints (FOLCs) with neural networks is a crucial but challenging problem since it involves modeling intricate correlations to satisfy the constraints.

Variational Inference

DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks

1 code implementation10 Feb 2023 Lei Zhang, Xiaodong Yan, Jianshan He, Ruopeng Li, Wei Chu

Our experimental results show that our model effectively relieves the problem of over-smoothing in deep GCNs and outperforms the state-of-the-art (SOTA) methods on various benchmark datasets.

PairRE: Knowledge Graph Embeddings via Paired Relation Vectors

1 code implementation ACL 2021 Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu

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 relations, such as N-to-1, 1-to-N and N-to-N, the other is to encode various relation patterns, such as symmetry/antisymmetry.

Knowledge Graph Embedding Knowledge Graph Embeddings +2

Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy

no code implementations ACL 2020 Xiexiong Lin, Weiyu Jian, Jianshan He, Taifeng Wang, Wei Chu

Experiments demonstrate that our model with fewer parameters yields significant improvements over competitive baselines on two datasets Wizard-of-Wikipedia(average Bleu +87{\%}; abs.

Latent Dirichlet Allocation for Internet Price War

no code implementations23 Aug 2018 Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong

Then we develop a variant of Latent Dirichlet Allocation (LDA) to infer latent variables under the current market environment, which represents the preferences of customers and strategies of competitors.

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