| Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Y Chen, L Wu, MJ Zaki Proceedings of the 34th Conference on Neural Information Processing Systems …, 2020 | 262 | 2020 |
| Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation Y Chen, L Wu, MJ Zaki Proceedings of the 8th International Conference on Learning Representations …, 2020 | 152 | 2020 |
| Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases Y Chen, L Wu, MJ Zaki Proceedings of the 2019 Annual Conference of the North American Chapter of …, 2019 | 145 | 2019 |
| Graph Neural Networks for Natural Language Processing: A Survey L Wu, Y Chen, K Shen, X Guo, H Gao, S Li, J Pei, B Long Foundations and Trends in Machine Learning, 2022 | 144 | 2022 |
| FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation S Haussmann, O Seneviratne, Y Chen, J Codella, CH Chen, ... 2nd Annual AMIA Knowledge Representation and Semantics Pre-Symposium 2019, 2019 | 105 | 2019 |
| FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation S Haussmann, O Seneviratne, Y Chen, Y Ne’eman, J Codella, CH Chen, ... The 18th International Semantic Web Conference (ISWC 2019), 2019 | 105 | 2019 |
| Retrieval-Augmented Generation for Code Summarization via Hybrid GNN S Liu, Y Chen, X Xie, JK Siow, Y Liu Proceedings of the 9th International Conference on Learning Representations …, 2021 | 91 | 2021 |
| KATE: K-Competitive Autoencoder for Text Y Chen, MJ Zaki Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 87 | 2017 |
| GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension Y Chen, L Wu, MJ Zaki Proceedings of the 29th International Joint Conference on Artificial …, 2020 | 73 | 2020 |
| Deep Iterative and Adaptive Learning for Graph Neural Networks Y Chen, L Wu, MJ Zaki AAAI 2020 Workshop on Deep Learning on Graphs: Methodologies and …, 2020 | 47 | 2020 |
| Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph Y Chen, A Subburathinam, CH Chen, MJ Zaki Proceedings of the 14th International Conference on Web Search and Data …, 2021 | 37 | 2021 |
| Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks Y Chen, L Wu, MJ Zaki IEEE Transactions on Neural Networks and Learning Systems, 2023 | 34 | 2023 |
| Deep Learning on Graphs for Natural Language Processing L Wu, Y Chen, H Ji, B Liu Proceedings of the 30th International Joint Conference on Artificial …, 2021 | 23 | 2021 |
| Comparative Text Analytics via Topic Modeling in Banking Y Chen, RM Rabbani, A Gupta, MJ Zaki Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence …, 2017 | 22 | 2017 |
| Automatic Code Summarization via Multi-dimensional Semantic Fusing in GNN S Liu, Y Chen, X Xie, JK Siow, Y Liu | 20 | 2020 |
| CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval L Yu, J Chen, A Sinha, MMJ Wang, Y Chen, TL Berg, N Zhang Proceedings of the 28th ACM SIGKDD International Conference on Knowledge …, 2022 | 17 | 2022 |
| Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model Y Chen, L Wu, MJ Zaki NeurIPS 2019 workshop on Graph Representation Learning (NeurIPS GRL 2019), 2019 | 10 | 2019 |
| Compact Graph Structure Learning via Mutual Information Compression N Liu, X Wang, L Wu, Y Chen, X Guo, C Shi Proceedings of The Web Conference 2022, 2022 | 9 | 2022 |
| FoodKG Enabled Q&A Application S Haussmann, Y Chen, O Seneviratne, N Rastogi, J Codella, CH Chen, ... The 18th International Semantic Web Conference (ISWC 2019), 2019 | 5 | 2019 |
| Graph Neural Networks: Graph Structure Learning Y Chen, L Wu Graph Neural Networks: Foundations, Frontiers, and Applications, 297-321, 2022 | 4 | 2022 |
Mohammed J. ZakiProfessor & Head, Computer Science Department, RPIVerified email at cs.rpi.edu
