xiangsheng1325 / fastgae_pytorch

Related projects ⓘ

Alternatives and complementary repositories for fastgae_pytorch

• AlexDuvalinho / HoscPool
  Higher-order clustering and pooling for GNNs
  ☆8Updated last year
• liugangcode / GREA
  [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"
  ☆35Updated 5 months ago
• ykiiiiii / ACMP
  ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)
  ☆16Updated last year
• cmavro / Graph-InfoClust-GIC
  [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
  ☆33Updated 2 years ago
• shuix007 / HMGNN
  Heterogeneous Molecular Graph Neural Network
  ☆28Updated 4 years ago
• DongqiFu / VCR-Graphormer
  VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024
  ☆9Updated 6 months ago
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆18Updated last year
• tata1661 / PAR-NeurIPS21
  Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".
  ☆45Updated 2 years ago
• muhanzhang / NestedGNN
  ☆54Updated 3 years ago
• LingxiaoShawn / GNNAsKernel
  Source code for From Stars to Subgraphs (ICLR 2022)
  ☆64Updated 7 months ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆47Updated last year
• zaixizhang / MGSSL
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆112Updated last year
• illidanlab / MoCL-DK
  Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge
  ☆40Updated last year
• DongqiFu / DPPIN
  DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022
  ☆27Updated last year
• Graph-and-Geometric-Learning / MolGroup
  Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023
  ☆18Updated 11 months ago
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆62Updated 11 months ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆37Updated 3 months ago
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆22Updated 2 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆52Updated last year
• ZhaoningYu1996 / HM-GNN
  Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"
  ☆33Updated last year
• RomanBresson / KAGNN
  This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
  ☆31Updated this week
• viz27 / SEComm
  ☆12Updated 3 years ago
• benatorc / OTGNN
  OTGNN code
  ☆55Updated 4 years ago
• ytchx1999 / Graphormer
  This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".
  ☆12Updated 3 years ago
• FilippoMB / The-expressive-power-of-pooling-in-GNNs
  Code and dataset to test empirically the expressive power of graph pooling operators.
  ☆33Updated last year
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆39Updated 4 years ago
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆92Updated last year
• Sunarker / GAT-for-PPI
  The code of Graph Attention Networks for Cora, Citeseer, Pubmed and PPI
  ☆35Updated 5 years ago
• GuillaumeSalhaGalvan / modularity_aware_gae
  Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 20…
  ☆15Updated last year
• shamim-hussain / egt_pytorch
  Edge-Augmented Graph Transformer
  ☆72Updated 9 months ago