1 code implementation • 18 Dec 2019 • Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang
Recently, the embedding-based recommendation models (e. g., matrix factorization and deep models) have been prevalent in both academia and industry due to their effectiveness and flexibility.
1 code implementation • ICLR 2020 • Xiaoran Xu, Wei Feng, Yunsheng Jiang, Xiaohui Xie, Zhiqing Sun, Zhi-Hong Deng
We propose Dynamically Pruned Message Passing Networks (DPMPN) for large-scale knowledge graph reasoning.
1 code implementation • 30 May 2019 • Xiaoran Xu, Wei Feng, Zhiqing Sun, Zhi-Hong Deng
Instead, inspired by the consciousness prior proposed by Yoshua Bengio, we explore reasoning with the notion of attentive awareness from a cognitive perspective, and formulate it in the form of attentive message passing on graphs, called neural consciousness flow (NeuCFlow).
no code implementations • 1 Nov 2018 • Xiaoran Xu, Songpeng Zu, Chengliang Gao, Yuan Zhang, Wei Feng
Real-world scenarios demand reasoning about process, more than final outcome prediction, to discover latent causal chains and better understand complex systems.
1 code implementation • 25 Jul 2018 • Xiaoran Xu, Songpeng Zu, Yuan Zhang, Hanning Zhou, Wei Feng
Then, the SCG can be trained based on these surrogate costs using standard backpropagation.