Simon Geisler

robustness_of_gnns_at_scale. This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).

reinforce-attacks-llms. REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective

s2gnn. Spatio-Spectral Graph Neural Networks (S²GNN)

reliable_gnn_via_robust_aggregation. This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020).

being-robust-can-be-practical. Being Robust (in High Dimensions) Can Be Practical

travelling-salesman-electric-vehicles. Solves the traveling salesman problem for a specialised electric car profile and compares the results with a regular profile

releasing-research-code. Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

digraph_transformer-fork. Python

awesome-graph-transformer. Papers about graph transformers.