2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 2 cited
LinSATNet: The Positive Linear Satisfiability Neural Networks
Runzhong Wang, Yunhao Zhang, Ziao Guo +3
Encoding constraints into neural networks is attractive. This paper studies how to introduce the popular positive linear satisfiability to neural networks. We propose the first dif…
cs.LG2022
GlobalWalk: Learning Global-aware Node Embeddings via Biased Sampling
Zhengrong Xue, Ziao Guo, Yiwei Guo
Popular node embedding methods such as DeepWalk follow the paradigm of performing random walks on the graph, and then requiring each node to be proximate to those appearing along w…