giuseppefutia / notebooks
Jupyter notebooks for testing ML models
☆22Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for notebooks
- ☆15Updated 3 years ago
- ☆16Updated 4 years ago
- Examples using PyTorch-BigGraph☆17Updated 5 years ago
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)☆57Updated last year
- ☆30Updated 3 years ago
- Hands-on tutorial about link analysis techniques☆37Updated 4 years ago
- Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.☆68Updated 5 months ago
- Learning from Graphs: From Mathematical Principles to Practical Tools☆11Updated 3 years ago
- Node Embeddings in Dynamic Graphs☆54Updated 2 years ago
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆41Updated 3 years ago
- Notebooks on using transformers for sequential recommendation tasks☆16Updated last year
- TigerLily: Finding drug interactions in silico with the Graph.☆98Updated last year
- A multi-label text classifier to predict the subject areas of arXiv papers from their abstract bodies.☆17Updated 3 years ago
- A PyTorch implementation of the ACM SIGKDD 2021 paper titled "PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-base…☆16Updated 11 months ago
- Course titled Practical Machine Learning on Graphs☆42Updated 4 years ago
- (Personalized) Page-Rank computation using PyTorch☆87Updated last year
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…☆65Updated 3 years ago
- Using pretrained language models for biomedical knowledge graph completion.☆46Updated 3 years ago
- Building Knowledge Graphs from Unstructured Text☆24Updated 4 years ago
- Projects that involve graph datasets☆14Updated 3 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆34Updated last year
- Tutorial and hands-on notebook on using the Knowledge Graph Toolkit (KGTK)☆78Updated 2 years ago
- Code for the CIKM 2019 Paper "Fast and Accurate Network Embeddings via Very Sparse Random Projection"☆55Updated 5 years ago
- SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations☆11Updated last year
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loader☆24Updated last year
- ☆16Updated 3 years ago
- ☆19Updated 4 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆45Updated last year
- Tensorflow port implementation of Single Headed Attention RNN☆16Updated 4 years ago