Alternatives and similar repositories for G-MPNN-R:

Users that are interested in G-MPNN-R are comparing it to the libraries listed below

• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆21Updated 10 months ago
• zyzisastudyreallyhardguy / UGCL
  The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"
  ☆21Updated 2 years ago
• weitianxin / HyperGCL
  [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…
  ☆56Updated 2 years ago
• Amanda-Zheng / Auto-HeG
  Pytorch implementation of WWW'23:"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs"
  ☆15Updated last year
• yxzwang / PhenomNN
  Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks
  ☆21Updated last year
• jumxglhf / ParetoGNN
  Official repository for ICLR'23 paper: Multi-task Self-supervised Graph Neural Network Enable Stronger Task Generalization
  ☆39Updated 2 years ago
• seongjunyun / Neo-GNNs
  Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
  ☆38Updated 2 years ago
• qslim / gnn-spectrum
  Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"
  ☆17Updated 2 years ago
• GraphPKU / NeuralCommonNeighbor
  ☆42Updated 7 months ago
• NSLab-CUK / Unified-Graph-Transformer
  Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…
  ☆27Updated 3 months ago
• Graph-COM / SUREL_Plus
  [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.
  ☆17Updated last year
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆32Updated 3 years ago
• yifanQi98 / HGRL
  ☆15Updated 2 years ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆47Updated 2 years ago
• moranbel / tdGraphEmbed
  ☆21Updated last year
• zwt233 / GAMLP
  ☆18Updated 3 years ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆53Updated last year
• zjukg / NCGNN
  Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
  ☆10Updated last year
• BUPT-GAMMA / AAGOD
  ☆15Updated last year
• AndyJZhao / Gophormer
  ☆21Updated 2 years ago
• MinhZou / UniG-Encoder
  UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification.
  ☆11Updated this week
• VITA-Group / Graph-Mixture-of-Experts
  [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…
  ☆41Updated last year
• XiaoxinHe / tape_arxiv_2023
  ☆34Updated last year
• wenzhilics / HomoGCL
  "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23
  ☆13Updated last year
• uta-smile / HGCN
  ☆12Updated 3 years ago
• tbh-98 / Hypergraph-MLP
  ☆15Updated last year
• RManLuo / GSNOP
  Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
  ☆33Updated last year
• Graph-COM / SUREL
  [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
  ☆19Updated 2 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
• jw9730 / ehnn
  [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
  ☆30Updated last year