mberr / torch-pprLinks
(Personalized) Page-Rank computation using PyTorch
β92Updated 2 years ago
Alternatives and similar repositories for torch-ppr
Users that are interested in torch-ppr are comparing it to the libraries listed below
Sorting:
- Graph Data Augmentation Library for PyTorch Geometricβ133Updated 3 years ago
- π KG Inductive Link Prediction Challenge (ILPC) 2022β85Updated 3 years ago
- Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.β68Updated last year
- Code for the CIKM 2019 Paper "Fast and Accurate Network Embeddings via Very Sparse Random Projection"β58Updated 6 years ago
- SIGN: Scalable Inception Graph Networkβ95Updated 5 years ago
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)β58Updated 2 years ago
- A research library for automating experiments on Deep Graph Networksβ222Updated 3 months ago
- Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)β142Updated 3 years ago
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loaderβ28Updated 2 years ago
- β177Updated 2 years ago
- A tiny library for larger graphsβ119Updated last year
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoeβ¦β64Updated 4 years ago
- Code for "R-GCN: The R Could Stand for Random"β37Updated 2 years ago
- Official Pytorch Implementation of GraphiTβ109Updated 4 years ago
- β97Updated 2 years ago
- TigerLily: Finding drug interactions in silico with the Graph.β100Updated 2 years ago
- β163Updated 2 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.β46Updated 2 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statisticalβ¦β49Updated 2 years ago
- Library that contains implementations of machine learning components in the hyperbolic spaceβ142Updated last year
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022β69Updated last year
- Code for hyperboloid embeddings for knowledge graph entitiesβ37Updated 5 months ago
- Using pretrained language models for biomedical knowledge graph completion.β47Updated 4 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.β90Updated 5 years ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)β76Updated 3 years ago
- β121Updated 2 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorchβ165Updated 3 years ago
- Official implementation of Graph Neural Network Query Executor (ICML 2022)β89Updated 2 years ago
- Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.β63Updated 5 years ago
- Framework for zero-shot learning with knowledge graphs.β113Updated 2 years ago