# User contributions

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- 18:06, 15 November 2020 (diff | hist) . . (+109) . . a fair comparison of graph neural networks for graph classification (→References)
- 17:49, 15 November 2020 (diff | hist) . . (-1) . . orthogonal gradient descent for continual learning (→Previous Work)
- 17:49, 15 November 2020 (diff | hist) . . (+213) . . orthogonal gradient descent for continual learning (→References)
- 17:48, 15 November 2020 (diff | hist) . . (+2) . . orthogonal gradient descent for continual learning (→Previous Work)
- 17:48, 15 November 2020 (diff | hist) . . (+208) . . orthogonal gradient descent for continual learning (→Previous Work)
- 17:12, 15 November 2020 (diff | hist) . . (+217) . . stat946F20 (→Paper presentation)
- 17:06, 15 November 2020 (diff | hist) . . (+7) . . stat946F20 (→Paper presentation)
- 16:40, 14 November 2020 (diff | hist) . . (+57) . . Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (→Conclusion)
- 16:19, 14 November 2020 (diff | hist) . . (+43) . . Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (→References)
- 16:19, 14 November 2020 (diff | hist) . . (+141) . . Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (→Conclusion)
- 15:58, 14 November 2020 (diff | hist) . . (+1) . . Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (→Problem Setup)
- 12:53, 14 November 2020 (diff | hist) . . (+58) . . Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (→References)
- 12:53, 14 November 2020 (diff | hist) . . (+135) . . Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (→Conclusion)
- 12:49, 14 November 2020
(diff | hist) . .
**(+509)** . . Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (→Navier-Stokes with Pressure) - 12:44, 14 November 2020 (diff | hist) . . (+5) . . Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (→Discrete-Time Example)
- 12:43, 14 November 2020 (diff | hist) . . (+28) . . Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (→Continuous-Time Example)
- 12:39, 14 November 2020 (diff | hist) . . (+26) . . Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (→Examples)
- 12:38, 14 November 2020 (diff | hist) . . (+15) . . Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (→Continuous-Time Example)
- 12:31, 14 November 2020 (diff | hist) . . (+29) . . Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (→Examples)
- 12:18, 14 November 2020
(diff | hist) . .
**(+642)** . . Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (→Data-Driven Discovery of PDEs)

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