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Xiang Ren | Sankalp Garg | Woojeong Jin | Navodita Sharma | Xiang Ren | Sankalp Garg | Woojeong Jin | Navodita Sharma
[1] Partha Talukdar,et al. HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding , 2018, EMNLP.
[2] Daniel Neil,et al. Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs , 2018, ArXiv.
[3] Pedro A. Szekely,et al. Recurrent Event Network for Reasoning over Temporal Knowledge Graphs , 2019, ArXiv.
[4] Mathias Niepert,et al. Learning Sequence Encoders for Temporal Knowledge Graph Completion , 2018, EMNLP.
[5] Yan Liu,et al. DynGEM: Deep Embedding Method for Dynamic Graphs , 2018, ArXiv.
[6] Cyrus Shahabi,et al. Graph Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting , 2017, ArXiv.
[7] Jure Leskovec,et al. GraphRNN: A Deep Generative Model for Graphs , 2018, ICML 2018.
[8] Jianfeng Gao,et al. Embedding Entities and Relations for Learning and Inference in Knowledge Bases , 2014, ICLR.
[9] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[10] Le Song,et al. Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs , 2017, ArXiv.
[11] Max Welling,et al. Modeling Relational Data with Graph Convolutional Networks , 2017, ESWC.
[12] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[13] Sebastian Ruder,et al. An Overview of Multi-Task Learning in Deep Neural Networks , 2017, ArXiv.
[14] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[15] Rich Caruana,et al. Multitask Learning , 1998, Encyclopedia of Machine Learning and Data Mining.
[16] Xing Xie,et al. Discovering spatio-temporal causal interactions in traffic data streams , 2011, KDD.
[17] John Fox,et al. The Knowledge Engineering Review , 1984, The Knowledge Engineering Review.
[18] Jie Chen,et al. EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs , 2020, AAAI.
[19] Paolo Frasconi,et al. Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning , 2013, IEEE Transactions on Intelligent Transportation Systems.
[20] R. Zemel,et al. Neural Relational Inference for Interacting Systems , 2018, ICML.
[21] Jure Leskovec,et al. Representation Learning on Graphs: Methods and Applications , 2017, IEEE Data Eng. Bull..
[22] Pasquale Minervini,et al. Convolutional 2D Knowledge Graph Embeddings , 2017, AAAI.