Embedding models for deterministic Knowledge Graphs (KG) have been extensively studied, with the purpose of capturing latent semantic relations between entities and incorporating the structured knowledge into machine learning. However, there are many KGs that model uncertain knowledge, which typically model...
"Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs". ICML 2017. paper (SSP) Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu. "SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions". AAAI 2017. paper code (ProjE) Baoxu Shi, Tim Weninger. "ProjE:...
Some papers on Temporal Knowledge Graph Embedding and Reasoning Useful research resources Graph-based Deep Learning Literature,Github links to conference publications in graph-based deep learning Reinforcement learning on graphs: A survey,Github This collection of papers can be used to summarize research ...
摘要: We propose an explainable temporal knowledge graph reasoning model.We design a temporal offset enhanced dynamic embedding model.A fine-grained adaptive reward mechanism is designed to optimize the reasoner.Experiment results reveal that our model has improved the performance....
Temporal Java.Time.Zone Java.Util Java.Util.Concurrent Java.Util.Concurrent.Atomic Java.Util.Concurrent.Locks Java.Util.Functions Java.Util.Jar Java.Util.Logging Java.Util.Prefs Java.Util.Regex Java.Util.Streams Java.Util.Zip Javax.Annotation.Processing Javax.Crypto Javax.Crypto.Interfaces Javax....
On Embedding Uncertain Graphs. Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixang Fang, Siqiang Luo. CIKM 2017. paper Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang. WSDM 2018. pa...
On Embedding Uncertain Graphs. Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixang Fang, Siqiang Luo. CIKM 2017. paper Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang. WSDM 2018. pa...
On Embedding Uncertain Graphs.Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixang Fang, Siqiang Luo.CIKM 2017.paper Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec.Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang.WSDM 2018.paper ...
"Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs". ICML 2017. paper (SSP) Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu. "SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions". AAAI 2017. paper code (ProjE) Baoxu Shi, Tim Weninger. "ProjE:...
"Learning Knowledge Embeddings by Combining Limit-based Scoring Loss". CIKM 2017. paper (URGE) Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixiang Fang, Siqiang Luo. "On Embedding Uncertain Graphs". CIKM 2017. paper WSDM (RSTE) Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Falk Brauer. "Random ...