Search Results for author: Hanning Gao

Found 4 papers, 2 papers with code

Intention Adaptive Graph Neural Network for Category-aware Session-based Recommendation

1 code implementation31 Dec 2021 Chuan Cui, Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Hanning Gao, Zhihua Wei

Session-based recommendation (SBR) is proposed to recommend items within short sessions given that user profiles are invisible in various scenarios nowadays, such as e-commerce and short video recommendation.

Session-Based Recommendations

Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph

no code implementations20 Nov 2021 Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long

Finally, we apply an answer selection model on the full KSG and the top-ranked sub-KSGs respectively to validate the effectiveness of our proposed graph-augmented learning to rank method.

Answer Selection Graph Question Answering +3

Triples-to-Text Generation with Reinforcement Learning Based Graph-augmented Neural Networks

no code implementations20 Nov 2021 Hanning Gao, Lingfei Wu, Hongyun Zhang, Zhihua Wei, Po Hu, Fangli Xu, Bo Long

Most previous methods solve this task using a sequence-to-sequence model or using a graph-based model to encode RDF triples and to generate a text sequence.

reinforcement-learning Reinforcement Learning (RL) +1

Graph Neural Networks for Natural Language Processing: A Survey

1 code implementation10 Jun 2021 Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long

Deep learning has become the dominant approach in coping with various tasks in Natural LanguageProcessing (NLP).

graph construction Graph Representation Learning

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