| Discovering meta-paths in large heterogeneous information networks C Meng, R Cheng, S Maniu, P Senellart, W Zhang Proceedings of the 24th international conference on world wide web, 754-764, 2015 | 155 | 2015 |
| Subgraph pattern neural networks for high-order graph evolution prediction C Meng, SC Mouli, B Ribeiro, J Neville Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 50 | 2018 |
| ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis C Meng, M Chen, J Mao, J Neville ECIR 2020, 2020 | 29 | 2020 |
| HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings C Meng, J Yang, B Ribeiro, J Neville 25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019 | 22 | 2019 |
| Neural article pair modeling for wikipedia sub-article matching M Chen, C Meng, G Huang, C Zaniolo Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 16 | 2019 |
| Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems B Chang, C Meng, H Ma, S Chang, Y Gu, Y Peng, J Feng, Y Zhang, S Bi, ... Companion Proceedings of the ACM Web Conference 2024, 151-160, 2024 | 2 | 2024 |
| Learning to Differentiate Between Main-articles and Sub-articles in Wikipedia M Chen, CM Meng, G Huang, C Zaniolo IEEE Big Data 2019, 2019 | 2 | 2019 |
| Country-diverted experiments for mitigation of network effects L Lin, C Meng, J Brennan, J Pouget-Abadie, N Han, S Bi, Y Peng Proceedings of the 18th ACM Conference on Recommender Systems, 765-767, 2024 | 1 | 2024 |
| Reducing Symbiosis Bias Through Better A/B Tests of Recommendation Algorithms J Brennan, Y Cong, Y Yu, L Lin, Y Peng, C Meng, N Han, ... arXiv preprint arXiv:2309.07107, 2023 | | 2023 |
| Scalable Representation Learning with Invariances C Meng Purdue University, 2020 | | 2020 |
