4 citations · 9 across the 6 of their papers we have counts for
6 papers
Exploring and Verbalizing Academic Ideas by Concept Co-occurrence
Yi Xu, Shuqian Sheng, Bo Xue +3
Researchers usually come up with new ideas only after thoroughly comprehending vast quantities of literature. The difficulty of this procedure is exacerbated by the fact that the n…
Revisiting Network Value: Sublinear Knowledge Law
Xinbing Wang, Luoyi Fu, Huquan Kang +3
Three influential laws, namely Sarnoff's Law, Metcalfe's Law, and Reed's Law, have been established to describe network value in terms of the number of neighbors, edges, and subgra…
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph
Cheng Deng, Jiaxin Ding, Luoyi Fu +3
The pandemic of COVID-19 has inspired extensive works across different research fields. Existing literature and knowledge platforms on COVID-19 only focus on collecting papers on b…
FMGNN: Fused Manifold Graph Neural Network
Cheng Deng, Fan Xu, Jiaxing Ding +3
Graph representation learning has been widely studied and demonstrated effectiveness in various graph tasks. Most existing works embed graph data in the Euclidean space, while rece…
PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model
Cheng Deng, Bo Tong, Luoyi Fu +4
In the research of end-to-end dialogue systems, using real-world knowledge to generate natural, fluent, and human-like utterances with correct answers is crucial. However, domain-s…
Disentangled Graph Contrastive Learning for Review-based Recommendation
Yuyang Ren, Haonan Zhang, Qi Li +5
User review data is helpful in alleviating the data sparsity problem in many recommender systems. In review-based recommendation methods, review data is considered as auxiliary inf…