Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2517 | 2023 |
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 993 | 2024 |
Ddgk: Learning graph representations for deep divergence graph kernels R Al-Rfou, B Perozzi, D Zelle The World Wide Web Conference, 37-48, 2019 | 85 | 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 | 49 | 2022 |
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 | 45 | 2024 |
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 | 14 | 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 | 10 | 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 | 7 | 2023 |
Systems and methods for determining graph similarity R Al-Rfou, D Zelle, B Perozzi US Patent 11,809,993, 2023 | 1 | 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 | 1 | 2022 |
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 |