| Ddgk: Learning graph representations for deep divergence graph kernels R Al-Rfou, B Perozzi, D Zelle The World Wide Web Conference, 37-48, 2019 | 76 | 2019 |
| Tf-gnn: Graph neural networks in tensorflow O Ferludin, A Eigenwillig, M Blais, D Zelle, J Pfeifer, A Sanchez-Gonzalez, ... arXiv preprint arXiv:2207.03522, 2022 | 21 | 2022 |
| Zero-shot transfer learning within a heterogeneous graph via knowledge transfer networks M Yoon, J Palowitch, D Zelle, Z Hu, R Salakhutdinov, B Perozzi Advances in Neural Information Processing Systems 35, 27347-27359, 2022 | 9 | 2022 |
| Learning large graph property prediction via graph segment training K Cao, M Phothilimthana, S Abu-El-Haija, D Zelle, Y Zhou, C Mendis, ... Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Let Your Graph Do the Talking: Encoding Structured Data for LLMs B Perozzi, B Fatemi, D Zelle, A Tsitsulin, M Kazemi, R Al-Rfou, J Halcrow arXiv preprint arXiv:2402.05862, 2024 | 3 | 2024 |
| Ugsl: A unified framework for benchmarking graph structure learning B Fatemi, S Abu-El-Haija, A Tsitsulin, M Kazemi, D Zelle, N Bulut, ... arXiv preprint arXiv:2308.10737, 2023 | 3 | 2023 |
| Systems and methods for determining graph similarity R Al-Rfou, D Zelle, B Perozzi US Patent 11,809,993, 2023 | 1 | 2023 |
| Method and system for activity prediction, prefetching and preloading of computer assets by a client-device M Shalai, J Catalano, B Lin, D Zelle, R Al-Rfou US Patent 11,899,733, 2024 | | 2024 |
| Large Graph Property Prediction via Graph Segment Training K Cao, PM Phothilimthana, S Abu-El-Haija, D Zelle, Y Zhou, C Mendis, ... Advances in neural information processing systems, 2023 | | 2023 |
| Zero-shot Domain Adaptation of Heterogeneous Graphs via Knowledge Transfer Networks. M Yoon, J Palowitch, D Zelle, Z Hu, R Salakhutdinov, B Perozzi CoRR, 2022 | | 2022 |
Bryan PerozziGoogle ResearchVerified email at google.com
