| Memory Augmented Graph Neural Networks for Sequential Recommendation C Ma, L Ma, Y Zhang, J Sun, X Liu, M Coates (AAAI 2020) The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020 | 258 | 2020 |
| Graph Inductive Biases in Transformers without Message Passing L Ma*, C Lin*, D Lim, A Romero-Soriano, PK Dokania, M Coates, P Torr, ... (ICML 2023) The Fortieth International Conference on Machine Learning, 2023 | 101 | 2023 |
| Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation C Ma, L Ma, Y Zhang, R Tang, X Liu, M Coates (KDD 2020) The 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 57 | 2020 |
| Knowledge-Enhanced Top-K Recommendation in Poincar\'e Ball C Ma, L Ma, Y Zhang, H Wu, X Liu, M Coates (AAAI 2021) The Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021 | 37 | 2021 |
| Graph Attention Networks with Positional Embeddings L Ma, R Rabbany, A Romero-Soriano (PAKDD 2021) The 25th Pacific-Asia Conference on Knowledge Discovery and …, 2021 | 29 | 2021 |
| RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting S Pal, L Ma, Y Zhang, M Coates (ICML 2021) The Thirty-eighth International Conference on Machine Learning, 2021 | 28 | 2021 |
| Multi-resolution Time-Series Transformer for Long-term Forecasting Y Zhang*, L Ma*, S Pal, Y Zhang, M Coates (AISTATS 2024) The 27th International Conference on Artificial Intelligence …, 2024 | 27 | 2024 |
| The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges S Luan, C Hua, Q Lu, L Ma, L Wu, X Wang, M Xu, XW Chang, D Precup, ... arXiv preprint arXiv:2407.09618, 2024 | 24 | 2024 |
| A new approach to solve opinion dynamics on complex networks WT Wang, YL He, JZ Huang, LH Ma Expert Systems with Applications 145, 113132, 2020 | 12 | 2020 |
| Detection and Defense of Topological Adversarial Attacks on Graphs Y Zhang, F Regol, S Pal, S Khan, L Ma, M Coates (AISTATS 2021) International Conference on Artificial Intelligence and …, 2021 | 10 | 2021 |
| Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data J Zhou, A Ghaddar, G Zhang, L Ma, Y Hu, S Pal, M Coates, B Wang, ... arXiv preprint arXiv:2409.12437, 2024 | 2 | 2024 |
| CKGConv: General Graph Convolution with Continuous Kernels L Ma, S Pal, Y Zhang, J Zhou, Y Zhang, M Coates (ICML 2024) The Forty-first International Conference on Machine Learning, 2024 | 2 | 2024 |
| Latent Feature Group Learning for High-Dimensional Data Clustering W Wang, Y He, L Ma, JZ Huang Information 10 (6), 208, 2019 | 2 | 2019 |
| Sparse Decomposition of Graph Neural Networks Y Hu, M Zeng, G Zhang, P Rumiantsev, L Ma, Y Zhang, M Coates arXiv preprint arXiv:2410.19723, 2024 | | 2024 |
| Revealing Decurve Flows for Generalized Graph Propagation C Lin*, L Ma*, Y Chen*, W Ouyang, MM Bronstein, PHS Torr arXiv preprint arXiv:2402.08480, 2024 | | 2024 |
| Graph Attention Networks with auxiliary positional embedding models L Ma McGill University (Canadian AI Association's 2021 Best Master's Thesis Award), 2020 | | 2020 |
Mark CoatesProfessor of Electrical Engineering, McGill Universityece.mcgill.ca의 이메일 확인됨