Alternatives and similar repositories for NEC-DGT:

Users that are interested in NEC-DGT are comparing it to the libraries listed below

• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago
• yzjiao / Subg-Con
  Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
  ☆44Updated 3 years ago
• yunshengb / GraphSim
  ☆52Updated 5 years ago
• AvigdorZ / ADaptive-Structural-Fingerprint
  ☆29Updated 4 years ago
• wyl7 / ClusterSCL
  The pytorch implementation of ClusterSCL (WWW2022).
  ☆15Updated last year
• ChandlerBang / SimP-GCN
  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
  ☆60Updated 3 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…
  ☆110Updated 5 months ago
• mori97 / JKNet-dgl
  A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)
  ☆39Updated 6 years ago
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆40Updated 3 years ago
• CurryTang / LLM4Graph
  Ongoing project: a library for graph foundation model
  ☆13Updated last year
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆36Updated 3 years ago
• Nate1874 / StructPool
  The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields
  ☆57Updated 4 years ago
• TrustAGI-Lab / MERIT
  [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
  ☆40Updated 2 years ago
• LARS-research / PAS-OGB
  CIKM 2021: Pooling Architecture Search for Graph Classification
  ☆19Updated 2 years ago
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆79Updated 2 years ago
• BUPT-GAMMA / PTHGNN
  source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".
  ☆22Updated 3 years ago
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• muhanzhang / NestedGNN
  ☆56Updated 3 years ago
• lxiaorui / AirGNN
  ☆20Updated 2 years ago
• THUDM / GRAND-plus
  Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
  ☆32Updated 2 years ago
• AndyJZhao / NSHE
  Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"
  ☆25Updated 4 years ago
• LingxiaoShawn / GNNAsKernel
  Source code for From Stars to Subgraphs (ICLR 2022)
  ☆67Updated 11 months ago
• ShinKyuY / Representation_Learning_on_Graphs_with_Jumping_Knowledge_Networks
  Representation Learning on Graphs with Jumping Knowledge Networks
  ☆38Updated 5 years ago
• ChengtaiCao / Meta-GNN
  ☆61Updated 2 years ago
• ytchx1999 / PyG-OGB-Tricks
  Bags of Tricks in OGB (node classification) with GCNs.
  ☆37Updated 3 years ago
• lsh0520 / RGCL
  Ratioanle-aware Graph Contrastive Learning codebase
  ☆40Updated last year
• GentleZhu / EGI
  Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
  ☆23Updated 3 years ago
• uta-smile / HGCN
  ☆12Updated 3 years ago
• DM2-ND / CFLP
  Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
  ☆66Updated 2 years ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆47Updated 2 years ago