Stars
Tools to generate, visualize and extend the large-scale historical film dataset
Minimal open-source implementation of AlphaProof and HyperTree Proof Search.
MaNGO - Adaptable Graph Network Simulators via Meta-Learning
Tool for data extraction and interacting with Lean programmatically.
The LaTeX format for my research statement, which has a right figure column
This is the code and data accompying: "The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited"
Transformers w/o Attention, based fully on MLPs
Enhancing Message Passing Neural Networks with Selective Long-Range Connections to Mitigate Over-Squashing
Experimenting with the expressiveness of graph embeddings utilizing graph products
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
Benchmarking software for OpenAI API with Angular Front-End and Spring Backend
Probabilistic language based on pattern matching and constraint propagation, 153 examples
Tutorial on neural theorem proving
Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".
Differentiable Algorithms and Algorithmic Supervision.
The gzip classification method implemented for molecule classification.
Semantic search engine indexing 110 million academic publications
A playbook for systematically maximizing the performance of deep learning models.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
bschiehl / ogb-random-feature
Forked from snap-stanford/ogbOGB extended with functionality to add random vertex features to input datasets.