Multilevel Graph Matching Networks for Deep Graph Similarity Learning
- Xiang Ling
- Lingfei Wu
- et al.
- 2021
- IEEE TNNLS
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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8 results for Fangli Xu
Hierarchical attention based spatial-temporal graph-to-sequence learning for grounded video description
- Kai Shen
- Lingfei Wu
- et al.
- 2021
- IJCAI 2020
RDF-to-text generation with graph-augmented structural neural encoders
- Hanning Gao
- Lingfei Wu
- et al.
- 2021
- IJCAI 2020
Word mover's embedding: From word2vec to document embedding
- Lingfei Wu
- Ian En Hsu Yen
- et al.
- 2018
- EMNLP 2018
Scalable spectral clustering using random binning features
- Lingfei Wu
- Fangli Xu
- et al.
- 2018
- KDD 2018
Random warping series: A random features method for time-series embedding
- Lingfei Wu
- Ian En Hsu Yen
- et al.
- 2018
- AISTATS 2018
Constructing contrastive samples via summarization for text classification with limited annotations
- Yangkai Du
- Tengfei Ma
- et al.
- 2021
- EMNLP 2021
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
- Hanlu Wu
- Tengfei Ma
- et al.
- 2022
- ACM TKDD