Data augmentation for graph neural networks T Zhao, Y Liu, L Neves, O Woodford, M Jiang, N Shah Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11015 …, 2021 | 439 | 2021 |
Graph-less neural networks: Teaching old mlps new tricks via distillation S Zhang, Y Liu, Y Sun, N Shah ICLR 2022: International Conference on Learning Representations, 2022 | 192 | 2022 |
A unified view on graph neural networks as graph signal denoising Y Ma, X Liu, T Zhao, Y Liu, J Tang, N Shah CIKM '21: Proceedings of the 30th ACM International Conference on …, 2021 | 182 | 2021 |
Graph Condensation for Graph Neural Networks W Jin, L Zhao, S Zhang, Y Liu, J Tang, N Shah ICLR 2022: International Conference on Learning Representations, 2022 | 151 | 2022 |
Graph data augmentation for graph machine learning: A survey T Zhao, W Jin, Y Liu, Y Wang, G Liu, S Günnemann, N Shah, M Jiang IEEE Data Engineering Bulletin, 2023 | 107 | 2023 |
Graph neural networks for friend ranking in large-scale social platforms A Sankar, Y Liu, J Yu, N Shah Proceedings of the Web Conference 2021, 2535-2546, 2021 | 79 | 2021 |
Characterizing and forecasting user engagement with in-app action graph: A case study of snapchat Y Liu, X Shi, L Pierce, X Ren Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 67 | 2019 |
Empowering graph representation learning with test-time graph transformation W Jin, T Zhao, J Ding, Y Liu, J Tang, N Shah ICLR 2023: International Conference on Learning Representation, 2022 | 64 | 2022 |
Mlpinit: Embarrassingly simple gnn training acceleration with mlp initialization X Han, T Zhao, Y Liu, X Hu, N Shah ICLR 2023: International Conference on Learning Representations, 2022 | 44 | 2022 |
Linkless link prediction via relational distillation Z Guo, W Shiao, S Zhang, Y Liu, NV Chawla, N Shah, T Zhao International Conference on Machine Learning, 12012-12033, 2023 | 43 | 2023 |
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games S Zhang, Y Liu, N Shah, Y Sun Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 43 | 2022 |
Knowing your fate: Friendship, action and temporal explanations for user engagement prediction on social apps X Tang, Y Liu, N Shah, X Shi, P Mitra, S Wang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 43 | 2020 |
Link prediction with non-contrastive learning W Shiao, Z Guo, T Zhao, EE Papalexakis, Y Liu, N Shah ICLR 2023: International Conference on Learning Representations, 2022 | 23 | 2022 |
Advertiming matters: Examining user ad consumption for effective ad allocations on social media K Saha, Y Liu, N Vincent, FA Chowdhury, L Neves, N Shah, MW Bos Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 21 | 2021 |
Semeval 2023 task 9: Multilingual tweet intimacy analysis J Pei, V Silva, M Bos, Y Liu, L Neves, D Jurgens, F Barbieri arXiv preprint arXiv:2210.01108, 2022 | 20 | 2022 |
Ceam: The effectiveness of cyclic and ephemeral attention models of user behavior on social platforms FA Chowdhury, Y Liu, K Saha, N Vincent, L Neves, N Shah, MW Bos Proceedings of the International AAAI Conference on Web and Social Media …, 2021 | 20 | 2021 |
Friend Story Ranking with Edge-Contextual Local Graph Convolutions X Tang, Y Liu, X He, S Wang, N Shah WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web …, 2022 | 12 | 2022 |
Flashlight: Scalable link prediction with effective decoders Y Wang, B Hooi, Y Liu, T Zhao, Z Guo, N Shah Learning on Graphs Conference, 14: 1-14: 17, 2022 | 8 | 2022 |
Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? J Jiang, N Murrugara-Llerena, MW Bos, Y Liu, N Shah, L Neves, ... Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022 | 8 | 2022 |
CARL-G: Clustering-Accelerated Representation Learning on Graphs W Shiao, US Saini, Y Liu, T Zhao, N Shah, EE Papalexakis KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge …, 2023 | 7 | 2023 |