Alternatives and similar repositories for GraphSSL

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

• twitter-research / feature-propagation
  ☆84Updated 3 years ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆103Updated 3 years ago
• AntonioLonga / Explaining-the-Explainers-in-Graph-Neural-Networks
  Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
  ☆36Updated last year
• FilippoMB / Benchmark_dataset_for_graph_classification
  Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
  ☆50Updated 5 months ago
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆60Updated 3 years ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆90Updated last year
• chrsmrrs / tudataset
  ☆95Updated 2 years ago
• SherylHYX / pytorch_geometric_signed_directed
  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…
  ☆142Updated 6 months ago
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆54Updated 2 years ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆53Updated 7 months ago
• seongjunyun / Neo-GNNs
  Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
  ☆38Updated 3 years ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆193Updated last year
• pbielak / graph-barlow-twins
  The official implementation of the Graph Barlow Twins method with the experimental pipeline
  ☆31Updated last year
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆71Updated 4 months ago
• rish-16 / grafog
  Graph Data Augmentation Library for PyTorch Geometric
  ☆132Updated 3 years ago
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆46Updated last year
• azminewasi / Awesome-Graph-Research-ICLR2024
  It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…
  ☆96Updated 9 months ago
• maxiaoba / GRAPE
  ☆140Updated 4 years ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆81Updated 2 years ago
• melifluos / subgraph-sketching
  code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
  ☆97Updated last year
• MichailChatzianastasis / GOAT
  Official Code Repository for the paper "Graph Ordering Attention Networks"
  ☆21Updated last year
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆157Updated last year
• vunhatminh / PGMExplainer
  Generating PGM Explanation for GNN predictions
  ☆75Updated 2 years ago
• tech-srl / bottleneck
  Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
  ☆95Updated 3 years ago
• karl-zhao / benchmarking-gnns-pyg
  ☆31Updated 2 years ago
• mims-harvard / G-Meta
  Graph meta learning via local subgraphs (NeurIPS 2020)
  ☆126Updated last year
• nairouz / DynAE
  ☆30Updated 4 years ago
• DevinKreuzer / SAN
  ☆155Updated 4 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆99Updated last month
• XiaoxinHe / Graph-ViT-MLPMixer
  Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"
  ☆164Updated last year