Alternatives and similar repositories for TANGO:

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

• GentleZhu / EGI
  Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
  ☆23Updated 3 years ago
• XiaoxinHe / tape_arxiv_2023
  ☆32Updated last year
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆47Updated 2 years ago
• yxzwang / PhenomNN
  Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks
  ☆21Updated last year
• KiddoZhu / NBFNet-PyG
  PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆63Updated 2 years ago
• zwt233 / GAMLP
  ☆18Updated 2 years ago
• snap-stanford / csr
  ☆34Updated last year
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆36Updated 3 years ago
• cmavro / GRAD
  [ECML-PKDD 2023] Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
  ☆29Updated last year
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆40Updated 3 years ago
• HKUST-KnowComp / DummyNode4GraphLearning
  Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"
  ☆19Updated last year
• THUDM / GRAND-plus
  Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
  ☆32Updated 2 years ago
• Zehong-Wang / GFT
  GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
  ☆30Updated 2 months ago
• VirtuosoResearch / Generalization-in-graph-neural-networks
  Measuring generalization properties of graph neural networks
  ☆15Updated last year
• blacker521 / awesome-graph-structure-learning
  A collection of research papers related to graph structure learning(GSL).
  ☆16Updated 2 years ago
• DeepGraphLearning / SPN
  ☆29Updated 2 years ago
• PeterGriffinJin / Patton
  Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)
  ☆26Updated 11 months ago
• mtang724 / NWR-GAE
  ☆38Updated 2 years ago
• toenshoff / LRGB
  ☆21Updated 9 months ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆71Updated last year
• Graph-COM / SUREL
  [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
  ☆19Updated last year
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆45Updated 3 years 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
• Graph-COM / PEG
  ☆38Updated last year
• ralphabb / GNN-RNI
  The codebase and datasets for the IJCAI 2021 paper "The Surprising Power of Graph Neural Networks with Random Node Initialization".
  ☆19Updated 3 years ago
• ZijieH / CG-ODE
  ☆34Updated 3 years ago
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆24Updated 4 years ago
• xiyou3368 / DGVAE
  ☆24Updated 3 years ago
• ZijieH / LG-ODE
  ☆34Updated 2 years ago