Alternatives and similar repositories for SRC

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

• davidbuterez / gnn-neural-readouts
  ☆27Updated 4 months ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆115Updated 2 months ago
• JinheonBaek / GMT
  Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
  ☆106Updated 3 years ago
• gbouritsas / GSN
  Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…
  ☆101Updated 3 years ago
• LingxiaoShawn / GNNAsKernel
  Source code for From Stars to Subgraphs (ICLR 2022)
  ☆70Updated last year
• ucbrise / graphtrans
  Representing Long-Range Context for Graph Neural Networks with Global Attention
  ☆131Updated 3 years ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆54Updated 2 years ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆65Updated last year
• DevinKreuzer / SAN
  ☆156Updated 3 years ago
• DeepGraphLearning / GraphLoG
  Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
  ☆80Updated 3 years ago
• AaltoPML / Rethinking-pooling-in-GNNs
  ☆62Updated 4 years ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆88Updated 3 years ago
• lcosmo / DGM_pytorch
  ☆54Updated 2 years ago
• Shen-Lab / GraphCL_Automated
  [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…
  ☆113Updated 8 months ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆45Updated 9 months ago
• tech-srl / bottleneck
  Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
  ☆94Updated 3 years ago
• Flawless1202 / VGAE_pyG
  An VGAE implementation using pytorch geometric.
  ☆44Updated 5 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆93Updated 3 weeks ago
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆64Updated 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…
  ☆54Updated 2 years ago
• EdisonLeeeee / MaskGAE
  [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
  ☆87Updated 7 months ago
• Namkyeong / BGRL_Pytorch
  Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
  ☆80Updated 3 years ago
• nerdslab / bgrl
  PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
  ☆81Updated last year
• FilippoMB / The-expressive-power-of-pooling-in-GNNs
  Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023
  ☆37Updated last year
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆103Updated 3 years ago
• meettyj / NOSMOG
  Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".
  ☆31Updated 2 years ago
• yanghu819 / Graph-MLP
  ☆76Updated 3 years ago
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆68Updated last month
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆44Updated last year
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆80Updated 2 years ago