Grounded conversation generation as guided traverses in commonsense knowledge graphs H Zhang, Z Liu, C Xiong, Z Liu ACL 2020: Proceedings of the 58th Annual Meeting of the Association for …, 2020 | 164 | 2020 |
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications H Xie, D Zheng, J Ma, H Zhang, VN Ioannidis, X Song, Q Ping, S Wang, ... KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge …, 2023 | 17 | 2023 |
Efficient and effective training of language and graph neural network models VN Ioannidis, X Song, D Zheng, H Zhang, J Ma, Y Xu, B Zeng, T Chilimbi, ... AAAI 2023; Knowledge4NLP, 2022 | 13 | 2022 |
GraphStorm: all-in-one graph machine learning framework for industry applications D Zheng, X Song, Q Zhu, J Zhang, T Vasiloudis, R Ma, H Zhang, Z Wang, ... KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge …, 2024 | | 2024 |
SST: Semantic and structural transformers for hierarchy-aware language models in e-commerce K Samel, H Zhang, J Ma, H Jiang, Q Ping, Y Xu, B Zeng, T Chilimbi IEEE BigData'23: 2023 IEEE International Conference on Big Data, 2023 | | 2023 |