Neural Information Processing Systems http://nips.cc/

Neural Information Processing Systems http://nips.cc/

We demonstrate that the structural inductive biases of GNN models can be an effective source for this type of attacks. Specifically, by exploiting the connection between the backward propagation of GNNs and random walks, we show that the common gradient-based white-box attacks can be generalized to the black-box setting via the connection between the gradient and an importance score similar to PageRank.

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The Chinese government unveiled a program to woo foreign talent just as the US cracked down on H-1Bs with a $100,000 fee. The move immediately provoked xenophobic backlash. While President Donald Trump makes it harder to hire skilled foreign workers in the US, Chinese leader Xi Jinping is trying to lure them in. On Wednesday, China officially launched a new visa program designed to make it easier for young professionals and people with degrees in science and technology from top universities to study and do business in the country. While many of the details of the K visa program have yet to be announced, Chinese authorities have said that applicants won't be required to obtain an invitation letter from a specific company, meaning the visa isn't tied to individual employers.

Recent progress in natural language generation has raised dual-use concerns.

Figure A.1 shows the amino acid sequences corresponding to the three SARS-CoV -2 targets. We used a bidirectional Gated Recurrent Unit (GRU) with a linear output layer as an encoder. Figure B.1: The novelty of the scaffold of each generated molecule compared to the most similar scaffold in the training set. Similarity of the fingerprints, is shown next to the scaffold of each generated molecule. We show a representative set of molecules generated for each target in Figure D.1 Figure D.1: Representative molecules generated for (top to bottom): NSP9 Replicase, Receptor-Binding Domain (RBD) of S protein, and Main Protease of SARS-CoV -2 RBD has maximum subgraph similarity to a commercially available drug Telavancin (See Figure E.3).

The generated candidates are novel at both the molecular and chemical scaffold levels when compared to the training data.