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1 . Report
MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures
저자
by
Yang, Han
;
Hu, Chenxi
;
Zhou, Yichi
;
Liu, Xixian
;
Shi, Yu
, et al.
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7 . Report
MatterGen: a generative model for inorganic materials design
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by
Zeni, Claudio
;
Pinsler, Robert
;
Zügner, Daniel
;
Fowler, Andrew
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Horton, Matthew
, et al.
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7 . Report
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
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by
Gosch, Lukas
;
Geisler, Simon
;
Sturm, Daniel
;
Charpentier, Bertrand
;
Zügner, Daniel
, et al.
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7 . Report
Training Differentially Private Graph Neural Networks with Random Walk Sampling
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by
Ayle, Morgane
;
Schuchardt, Jan
;
Gosch, Lukas
;
Zügner, Daniel
;
Günnemann, Stephan
.
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7 . Report
On the Robustness and Anomaly Detection of Sparse Neural Networks
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by
Ayle, Morgane
;
Charpentier, Bertrand
;
Rachwan, John
;
Zügner, Daniel
;
Geisler, Simon
, et al.
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7 . Report
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
저자
by
Rachwan, John
;
Zügner, Daniel
;
Charpentier, Bertrand
;
Geisler, Simon
;
Ayle, Morgane
, et al.
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7 . Report
Monte Carlo EM for Deep Time Series Anomaly Detection
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by
Aubet, François-Xavier
;
Zügner, Daniel
;
Gasthaus, Jan
.
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5 . Report
Robustness of Graph Neural Networks at Scale
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by
Geisler, Simon
;
Schmidt, Tobias
;
Şirin, Hakan
;
Zügner, Daniel
;
Bojchevski, Aleksandar
, et al.
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7 . Report
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
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by
Stadler, Maximilian
;
Charpentier, Bertrand
;
Geisler, Simon
;
Zügner, Daniel
;
Günnemann, Stephan
.
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7 . Report
A Study of Joint Graph Inference and Forecasting
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by
Zügner, Daniel
;
Aubet, François-Xavier
;
Satorras, Victor Garcia
;
Januschowski, Tim
;
Günnemann, Stephan
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