most citedKnowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation

4 citations · 7 across the 4 of their papers we have counts for

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cs.CL2023★ 1 cited

Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications

Han Xie, Da Zheng, Jun Ma +9

Model pre-training on large text corpora has been demonstrated effective for various downstream applications in the NLP domain. In the graph mining domain, a similar analogy can be…

cs.CL2022★ 1 cited

Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition

Bin Ji, Shasha Li, Jie Yu +2

For Named Entity Recognition (NER), sequence labeling-based and span-based paradigms are quite different. Previous research has demonstrated that the two paradigms have clear compl…