Alternatives and similar repositories for SpectralEmbeddings:

Users that are interested in SpectralEmbeddings are comparing it to the libraries listed below

• chrsmrrs / tudataset
  ☆92Updated last year
• karl-zhao / benchmarking-gnns-pyg
  ☆30Updated last year
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆45Updated last year
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated last year
• twitter-research / sign
  SIGN: Scalable Inception Graph Network
  ☆95Updated 4 years ago
• Flawless1202 / VGAE_pyG
  An VGAE implementation using pytorch geometric.
  ☆44Updated 4 years ago
• benedekrozemberczki / PDN
  The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
  ☆58Updated 2 years ago
• shionhonda / gae-dgl
  Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
  ☆66Updated 2 years ago
• gbouritsas / GSN
  Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…
  ☆100Updated 3 years ago
• zekarias-tilahun / SelfGNN
  A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …
  ☆30Updated 3 years ago
• pmernyei / wiki-cs-dataset
  Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
  ☆55Updated 3 years ago
• divelab / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆69Updated 2 years ago
• shenyangHuang / LAD
  Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)
  ☆26Updated last year
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆55Updated 2 years ago
• seongjunyun / Neo-GNNs
  Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
  ☆38Updated 2 years ago
• Graph-COM / SUREL
  [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
  ☆19Updated 2 years ago
• balcilar / gnn-matlang
  Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021
  ☆40Updated 3 years ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆53Updated last year
• leichen2018 / Ring-GNN
  ☆12Updated 4 years ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆46Updated last month
• thiviyanT / torch-rgcn
  A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
  ☆122Updated 3 years ago
• maqy1995 / EvolveGCN-DGL
  Implement EvolveGCN by DGL.
  ☆25Updated 3 years ago
• balcilar / Spectral-Designed-Graph-Convolutions
  Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
  ☆50Updated 4 years ago
• russchua / Graph-Isomorphism-Networks
  A Tensorflow 2.0 implementation of Graph Isomorphism Networks.
  ☆54Updated 5 years ago
• Erfaan-Rostami / Hypergraph-and-Graph-Neural-Network-HGNN-GNN--
  Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecul…
  ☆54Updated last year
• pbloem / kgbench-data
  A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loader
  ☆25Updated 2 years ago
• MichailChatzianastasis / GOAT
  Official Code Repository for the paper "Graph Ordering Attention Networks"
  ☆21Updated last year
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆100Updated 3 years ago
• mberr / torch-ppr
  (Personalized) Page-Rank computation using PyTorch
  ☆88Updated 2 years ago
• guillaumejaume / edGNN
  Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"
  ☆42Updated last year