1 citations · 1 across the 3 of their papers we have counts for
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cs.AI2019
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning
Xiaoran Xu, Wei Feng, Yunsheng Jiang +3
We propose Dynamically Pruned Message Passing Networks (DPMPN) for large-scale knowledge graph reasoning. In contrast to existing models, embedding-based or path-based, we learn an…
cs.AI2019★ 1 cited
Neural Consciousness Flow
Xiaoran Xu, Wei Feng, Zhiqing Sun +1
The ability of reasoning beyond data fitting is substantial to deep learning systems in order to make a leap forward towards artificial general intelligence. A lot of efforts have…
cs.AI2018
Modeling Attention Flow on Graphs
Xiaoran Xu, Songpeng Zu, Chengliang Gao +2
Real-world scenarios demand reasoning about process, more than final outcome prediction, to discover latent causal chains and better understand complex systems. It requires the lea…