Pinned Repositories
awesome-graph-attack-papers
Adversarial attacks and defenses on Graph Neural Networks.
awesome-graph-transformer
Papers about graph transformers.
being-robust-can-be-practical
Being Robust (in High Dimensions) Can Be Practical
clrs
digraph_transformer-fork
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
reliable_gnn_via_robust_aggregation
This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020).
robustness_of_gnns_at_scale
This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).
s2gnn
travelling-salesman-electric-vehicles
Solves the traveling salesman problem for a specialised electric car profile and compares the results with a regular profile
sigeisler's Repositories
sigeisler/robustness_of_gnns_at_scale
This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).
sigeisler/reliable_gnn_via_robust_aggregation
This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020).
sigeisler/s2gnn
sigeisler/being-robust-can-be-practical
Being Robust (in High Dimensions) Can Be Practical
sigeisler/travelling-salesman-electric-vehicles
Solves the traveling salesman problem for a specialised electric car profile and compares the results with a regular profile
sigeisler/awesome-graph-transformer
Papers about graph transformers.
sigeisler/digraph_transformer-fork
sigeisler/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
sigeisler/awesome-graph-attack-papers
Adversarial attacks and defenses on Graph Neural Networks.
sigeisler/clrs
sigeisler/graph-adversarial-learning-literature
A curated list of adversarial attacks and defenses papers on graph-structured data.
sigeisler/grb
Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.
sigeisler/jsts
JavaScript Topology Suite
sigeisler/kafka
A high-throughput, distributed, publish-subscribe messaging system
sigeisler/models
Models and examples built with TensorFlow
sigeisler/jaxline
sigeisler/pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
sigeisler/Posterior-Network
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
sigeisler/pprgo_pytorch
PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)
sigeisler/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
sigeisler/pytorch_geometric
Graph Neural Network Library for PyTorch