Testing the Reliability of Genetic Methods of Species Identification via Simulation von Ross, Howard A., Murugan, Sumathi, Sibon Li, Wai Lok

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Accurate model selection of relaxed molecular clocks in bayesian phylogenetics von Baele, Guy, Li, Wai Lok Sibon, Drummond, Alexei J, Suchard, Marc A, Lemey, Philippe

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Covariation of branch lengths in phylogenies of functionally related genes von Li, Wai Lok Sibon, Rodrigo, Allen G

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Model Averaging and Bayes Factor Calculation of Relaxed Molecular Clocks in Bayesian Phylogenetics von Li, Wai Lok Sibon, Drummond, Alexei J.

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Accurate Model Selection of Relaxed Molecular Clocks in Bayesian Phylogenetics von Baele, Guy, Li, Wai Lok Sibon, Drummond, Alexei J, Suchard, Marc A, Lemey, Philippe

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GWASeq: targeted re-sequencing follow up to GWAS von Salomon, Matthew P, Li, Wai Lok Sibon, Edlund, Christopher K, Morrison, John, Fortini, Barbara K, Win, Aung Ko, Conti, David V, Thomas, Duncan C, Duggan, David, Buchanan, Daniel D, Jenkins, Mark A, Hopper, John L, Gallinger, Steven, Le Marchand, Loïc, Newcomb, Polly A, Casey, Graham, Marjoram, Paul

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Large-scale graph representation learning with very deep GNNs and self-supervision von Addanki, Ravichandra, Battaglia, Peter W, Budden, David, Deac, Andreea, Godwin, Jonathan, Keck, Thomas, Li, Wai Lok Sibon, Sanchez-Gonzalez, Alvaro, Stott, Jacklynn, Thakoor, Shantanu, Veličković, Petar

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TF-GNN: Graph Neural Networks in TensorFlow von Ferludin, Oleksandr, Eigenwillig, Arno, Blais, Martin, Zelle, Dustin, Pfeifer, Jan, Sanchez-Gonzalez, Alvaro, Li, Wai Lok Sibon, Abu-El-Haija, Sami, Battaglia, Peter, Bulut, Neslihan, Halcrow, Jonathan, de Almeida, Filipe Miguel Gonçalves, Gonnet, Pedro, Jiang, Liangze, Kothari, Parth, Lattanzi, Silvio, Linhares, André, Mayer, Brandon, Mirrokni, Vahab, Palowitch, John, Paradkar, Mihir, She, Jennifer, Tsitsulin, Anton, Villela, Kevin, Wang, Lisa, Wong, David, Perozzi, Bryan

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Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing von Liu, Ge, Wu, Rui, Cheng, Heng-Tze, Wang, Jing, Ooi, Jayden, Li, Lihong, Li, Ang, Li, Wai Lok Sibon, Boutilier, Craig, Chi, Ed

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TF-GNN: Graph Neural Networks in TensorFlow von Ferludin, Oleksandr, Eigenwillig, Arno, Blais, Martin, Zelle, Dustin, Pfeifer, Jan, Sanchez-Gonzalez, Alvaro, Wai Lok Sibon Li, Abu-El-Haija, Sami, Battaglia, Peter, Bulut, Neslihan, Halcrow, Jonathan, Filipe Miguel Gonçalves de Almeida, Gonnet, Pedro, Jiang, Liangze, Kothari, Parth, Lattanzi, Silvio, Linhares, André, Mayer, Brandon, Mirrokni, Vahab, Palowitch, John, Paradkar, Mihir, She, Jennifer, Tsitsulin, Anton, Villela, Kevin, Wang, Lisa, Wong, David, Perozzi, Bryan

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Large-scale graph representation learning with very deep GNNs and self-supervision von Ravichandra Addanki, Battaglia, Peter W, Budden, David, Deac, Andreea, Godwin, Jonathan, Keck, Thomas, Wai Lok Sibon Li, Sanchez-Gonzalez, Alvaro, Stott, Jacklynn, Thakoor, Shantanu, Veličković, Petar

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Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing von Liu, Ge, Wu, Rui, Heng-Tze Cheng, Wang, Jing, Ooi, Jayden, Li, Lihong, Ang, Li, Wai Lok Sibon Li, Boutilier, Craig, Chi, Ed

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