KDD2023 Hot Knowledge Graph Papers Full List
rockingdingo 2023-09-01 #KDD2023 #knowledge graph #GNN
KDD2023 Hot Knowledge Graph Papers Full List
This blog summarizes the latest research development of Knowledge Graph papers published in KDD2023 conferences. This year there are total 11 papers related to Knowledge Graph in KDD2023. Most of the authors' affiliations are top research institutes (Google Research, DeepMind, Meta FAIR) and universities (Stanford, Berkeley, MIT, CMU and others).
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- 1.Knowledge Graph Reasoning over Entities and Numerical Values
- 2.Exploiting Relation-Aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical Reasoning
- 3.AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning
- 4.Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
- 5.Knowledge Graph Self-Supervised Rationalization for Recommendation
- 6.Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-Source Knowledge Graphs
- 7.Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation
- 8.Few-Shot Low-Resource Knowledge Graph Completion with Multi-view Task Representation Generation
- 9.Learning Joint Relational Co-Evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction
- 10.Commonsense Knowledge Graph towards Supper APP and Its Applications in Alipay
- 11.Deep Transfer Learning for City-Scale Cellular Traffic Generation through Urban Knowledge Graph
Paper List
1.Knowledge Graph Reasoning over Entities and Numerical Values
Jiaxin Bai (HKUST), Chen Luo (Amazon.com Inc), zheng li (Amazon.com Inc), Qingyu Yin (Amazon.com Inc), Bing Yin (Amazon.com Inc), Yangqiu Song (HKUST)
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2.Exploiting Relation-Aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical Reasoning
Gayeong Kim (Sungkyunkwan University), Sookyung Kim (Sungkyunkwan University), Ko Keun Kim (LG Electronics), Suchan Park (LG Electronics), Heesoo Jung (Sungkyunkwan University), Hogun Park (Sungkyunkwan University)
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3.AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning
Yongqi Zhang (4Paradigm Inc.), Zhanke Zhou (Hong Kong Baptist University), Quanming Yao (Tsinghua University), Xiaowen Chu (HKUST (Guangzhou)), Bo Han (Hong Kong Baptist University)
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4.Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
Chanyoung Chung (KAIST), Jaejun Lee (KAIST), Joyce Jiyoung Whang (KAIST)
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5.Knowledge Graph Self-Supervised Rationalization for Recommendation
Yuhao Yang (The University of Hong Kong), Chao Huang (The University of Hong Kong), Lianghao Xia (The University of Hong Kong), Chunzhen Huang (Tencent)
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6.Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-Source Knowledge Graphs
Zequn Sun (Nanjing University), Jiacheng Huang (Nanjing University), Jinghao Lin (Alibaba Group), Xiaozhou Xu (Alibaba Group), Qijin Chen (Alibaba Group), Wei Hu (Nanjing University)
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7.Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation
Likang Wu (University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence), Zhi Li (Shenzhen International Graduate School, Tsinghua University), Hongke Zhao (Tianjin University), Zhefeng Wang (Huawei Cloud), Qi Liu (University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence), Baoxing Huai (Huawei Cloud), Nicholas Jing Yuan (Huawei Cloud), Enhong Chen (University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence)
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8.Few-Shot Low-Resource Knowledge Graph Completion with Multi-view Task Representation Generation
Shichao Pei (The University of Notre Dame), Ziyi Kou (The University of Notre Dame), Qiannan Zhang (King Abdullah University of Science and Technology), Xiangliang Zhang (The University of Notre Dame)
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9.Learning Joint Relational Co-Evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction
Youru Li (Beijing Jiaotong University), Zhenfeng Zhu (Beijing Jiaotong University), Xiaobo Guo (Beijing Jiaotong University; MYBank, Ant Group), Linxun Chen (MYBank, Ant Group), Zhouyin Wang (MYBank, Ant Group), Yinmeng Wang (MYBank, Ant Group), Bing Han (MYBank, Ant Group), Yao Zhao (Beijing Jiaotong University)
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10.Commonsense Knowledge Graph towards Supper APP and Its Applications in Alipay
Xiaoling Zang (Ant Group), Binbin Hu (Ant Group), Chu Jun (Ant Group), Zhiqiang Zhang (Ant Group), Guannan Zhang (Ant Group), Jun Zhou (Ant Group), Wenliang Zhong (Ant Group)
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11.Deep Transfer Learning for City-Scale Cellular Traffic Generation through Urban Knowledge Graph
Zhang Shiyuan (Tsinghua University), Tong Li (Tsinghua University), Shuodi Hui (Tsinghua University), Guangyu Li (China Mobile Research Institute), Yanping Liang (China Mobile Research Institute), Li Yu (China Mobile Research Institute), Depeng Jin (Tsinghua University), Yong Li (Tsinghua University)
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