Scaling Graph Propagation Kernels for Predictive Learning von Vijayan, Priyesh, Chandak, Yash, Khapra, Mitesh M, Parthasarathy, Srinivasan, Ravindran, Balaraman

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Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks von Sandfelder, Dylan, Vijayan, Priyesh, Hamilton, William L

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Semi-Supervised Deep Learning for Multiplex Networks von Mitra, Anasua, Vijayan, Priyesh, Sanasam, Ranbir, Goswami, Diganta, Parthasarathy, Srinivasan, Ravindran, Balaraman

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Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling von Kamarthi, Harshavardhan, Vijayan, Priyesh, Wilder, Bryan, Ravindran, Balaraman, Tambe, Milind

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Generative Active Learning for the Search of Small-molecule Protein Binders von Korablyov, Maksym, Liu, Cheng-Hao, Jain, Moksh, van der Sloot, Almer M, Jolicoeur, Eric, Ruediger, Edward, Nica, Andrei Cristian, Bengio, Emmanuel, Lapchevskyi, Kostiantyn, St-Cyr, Daniel, Schuetz, Doris Alexandra, Butoi, Victor Ion, Rector-Brooks, Jarrid, Blackburn, Simon, Feng, Leo, Nekoei, Hadi, Gottipati, SaiKrishna, Vijayan, Priyesh, Gupta, Prateek, Rampášek, Ladislav, Avancha, Sasikanth, Bacon, Pierre-Luc, Hamilton, William L, Paige, Brooks, Misra, Sanchit, Jastrzebski, Stanislaw Kamil, Kaul, Bharat, Precup, Doina, Hernández-Lobato, José Miguel, Segler, Marwin, Bronstein, Michael, Marinier, Anne, Tyers, Mike, Bengio, Yoshua

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Fusion Graph Convolutional Networks von Vijayan, Priyesh, Chandak, Yash, Khapra, Mitesh M, Parthasarathy, Srinivasan, Ravindran, Balaraman

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On Incorporating Structural Information to improve Dialogue Response Generation von Moghe, Nikita, Vijayan, Priyesh, Ravindran, Balaraman, Khapra, Mitesh M

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Semi-Supervised Deep Learning for Multiplex Networks von Mitra, Anasua, Vijayan, Priyesh, Sanasam, Ranbir, Goswami, Diganta, Parthasarathy, Srinivasan, Ravindran, Balaraman

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Understanding Dynamic Scenes using Graph Convolution Networks von Mylavarapu, Sravan, Sandhu, Mahtab, Vijayan, Priyesh, K Madhava Krishna, Ravindran, Balaraman, Namboodiri, Anoop

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Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks von Mylavarapu, Sravan, Sandhu, Mahtab, Vijayan, Priyesh, K Madhava Krishna, Ravindran, Balaraman, Namboodiri, Anoop

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Generative Active Learning for the Search of Small-molecule Protein Binders von Korablyov, Maksym, Cheng-Hao, Liu, Jain, Moksh, Almer M van der Sloot, Jolicoeur, Eric, Ruediger, Edward, Nica, Andrei Cristian, Bengio, Emmanuel, Lapchevskyi, Kostiantyn, St-Cyr, Daniel, Schuetz, Doris Alexandra, Butoi, Victor Ion, Rector-Brooks, Jarrid, Blackburn, Simon, Feng, Leo, Nekoei, Hadi, Gottipati, SaiKrishna, Vijayan, Priyesh, Gupta, Prateek, Rampášek, Ladislav, Avancha, Sasikanth, Bacon, Pierre-Luc, Hamilton, William L, Brooks, Paige, Misra, Sanchit, Stanislaw Kamil Jastrzebski, Kaul, Bharat, Precup, Doina, José Miguel Hernández-Lobato, Segler, Marwin, Bronstein, Michael, Marinier, Anne, Tyers, Mike, Bengio, Yoshua

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Network Representation Learning: Consolidation and Renewed Bearing von Gurukar, Saket, Vijayan, Priyesh, Srinivasan, Aakash, Bajaj, Goonmeet, Chen, Cai, Keymanesh, Moniba, Kumar, Saravana, Maneriker, Pranav, Mitra, Anasua, Patel, Vedang, Ravindran, Balaraman, Parthasarathy, Srinivasan

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