Xin Liu
Cited by
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ASER: A large-scale eventuality knowledge graph
H Zhang, X Liu, H Pan, Y Song, CWK Leung
Proceedings of the web conference 2020, 201-211, 2020
Neural subgraph isomorphism counting
X Liu, H Pan, M He, Y Song, X Jiang, L Shang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Hyper-path-based representation learning for hyper-networks
J Huang, X Liu, Y Song
Proceedings of the 28th ACM International Conference on Information and …, 2019
On the importance of word and sentence representation learning in implicit discourse relation classification
X Liu, J Ou, Y Song, X Jiang
arXiv preprint arXiv:2004.12617, 2020
A variational approach to weakly supervised document-level multi-aspect sentiment classification
Z Zeng, W Zhou, X Liu, Y Song
arXiv preprint arXiv:1904.05055, 2019
Efficient path prediction for semi-supervised and weakly supervised hierarchical text classification
H Xiao, X Liu, Y Song
The World Wide Web Conference, 3370-3376, 2019
Biased Random Walk based Social Regularization for Word Embeddings.
Z Zeng, X Liu, Y Song
IJCAI, 4560-4566, 2018
Aser: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities
H Zhang, X Liu, H Pan, H Ke, J Ou, T Fang, Y Song
Artificial Intelligence, 103740, 2022
Graph convolutional networks with dual message passing for subgraph isomorphism counting and matching
X Liu, Y Song
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7594-7602, 2022
Relation discovery with out-of-relation knowledge base as supervision
Y Liang, X Liu, J Zhang, Y Song
arXiv preprint arXiv:1905.01959, 2019
A variational approach to unsupervised sentiment analysis
Z Zeng, W Zhou, X Liu, Z Lin, Y Song, MD Kuo, WHK Chiu
arXiv preprint arXiv:2008.09394, 2020
Boosting Graph Structure Learning with Dummy Nodes
X Liu, J Cheng, Y Song, X Jiang
International Conference on Machine Learning, 13704-13716, 2022
Exploring Discourse Structures for Argument Impact Classification
X Liu, J Ou, Y Song, X Jiang
arXiv preprint arXiv:2106.00976, 2021
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