Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Zhou, Junru"'
The ability of graph neural networks (GNNs) to count certain graph substructures, especially cycles, is important for the success of GNNs on a wide range of tasks. It has been recently used as a popular metric for evaluating the expressive power of G
Externí odkaz:
http://arxiv.org/abs/2309.04941
We investigate the enhancement of graph neural networks' (GNNs) representation power through their ability in substructure counting. Recent advances have seen the adoption of subgraph GNNs, which partition an input graph into numerous subgraphs, subs
Externí odkaz:
http://arxiv.org/abs/2303.10576
Autor:
Zhang, Fan, Chen, Chen, Zhou, Junru, Zhu, Qun, Chen, Wenjun, Zhang, Qiuzhuo, Long, Mingce, Chen, Chao
Publikováno v:
In Separation and Purification Technology 24 December 2024 351
Autor:
Zheng, Chuanrong, Guan, Jiani, Zhang, Fan, Zhou, Junru, Wang, Dandan, Zhao, Yuting, Zhang, Pengyan, Yan, Mengqin, Chen, Wenjun, Zhu, Qun, He, Jinyi, Liao, Fengtiao, Zhang, Xikui, Long, Mingce, Chen, Chao
Publikováno v:
In Applied Catalysis B: Environment and Energy 15 December 2024 359
Autor:
Gui, Yaohui, Huang, Changping, Zhou, Junru, Zhang, Ze, Wang, Jin, Kang, Xiaoyan, Huang, Wenjiang, Lv, Xin, Zhang, Lifu
Publikováno v:
In Industrial Crops & Products 1 November 2024 219
Constituent and dependency parsing, the two classic forms of syntactic parsing, have been found to benefit from joint training and decoding under a uniform formalism, Head-driven Phrase Structure Grammar (HPSG). However, decoding this unified grammar
Externí odkaz:
http://arxiv.org/abs/2105.09835
Autor:
Zhang, Fan, Chen, Chen, Zhou, Junru, Zheng, Chuanrong, Zhu, Qun, Peng, Feng, Chen, Wenjun, Zhang, Qiuzhuo, Long, Mingce, Chen, Chao
Publikováno v:
In Separation and Purification Technology 20 March 2024 332
Understanding human language is one of the key themes of artificial intelligence. For language representation, the capacity of effectively modeling the linguistic knowledge from the detail-riddled and lengthy texts and getting rid of the noises is es
Externí odkaz:
http://arxiv.org/abs/2012.13915
For natural language understanding tasks, either machine reading comprehension or natural language inference, both semantics-aware and inference are favorable features of the concerned modeling for better understanding performance. Thus we propose a
Externí odkaz:
http://arxiv.org/abs/2004.13338
The latest developments in neural semantic role labeling (SRL) have shown great performance improvements with both the dependency and span formalisms/styles. Although the two styles share many similarities in linguistic meaning and computation, most
Externí odkaz:
http://arxiv.org/abs/1911.02851