abhilash1910 / SpectralEmbeddings
spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.
☆64Updated 3 years ago
Alternatives and similar repositories for SpectralEmbeddings
Users that are interested in SpectralEmbeddings are comparing it to the libraries listed below
Sorting:
- ☆31Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)☆58Updated 2 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆42Updated 3 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- ☆94Updated 2 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆65Updated 2 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated last year
- Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Rem…☆27Updated 3 years ago
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loader☆25Updated 2 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆122Updated 9 months ago
- ☆21Updated last year
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆51Updated 2 years ago
- (Personalized) Page-Rank computation using PyTorch☆90Updated 2 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆42Updated last year
- 🏅 KG Inductive Link Prediction Challenge (ILPC) 2022☆85Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018☆27Updated 4 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆27Updated last year
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Transformers are Graph Neural Networks!☆54Updated 4 years ago
- Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks☆58Updated 3 years ago
- code for "Self-supervised edge features for improved Graph Neural Network training", <arxivlink>☆23Updated 4 years ago
- ☆12Updated 5 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 4 years ago
- This repository summarises the open source codes of our group☆27Updated 2 years ago
- An VGAE implementation using pytorch geometric.☆45Updated 4 years ago