Alternatives and similar repositories for ARGNP:

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

• phython96 / GNAS-MP
  Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR 2021)
  ☆51Updated 2 years ago
• ihollywhy / DistillGCN.PyTorch
  Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20
  ☆57Updated 2 years ago
• WanyuGroup / CVPR2022-OrphicX
  Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…
  ☆34Updated 3 years ago
• canqin001 / Efficient_Graph_Similarity_Computation
  [NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
  ☆40Updated 2 years ago
• autumn9999 / MTC-with-Category-Shifts
  ☆12Updated 2 years ago
• yang-han / P-reg
  Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
  ☆34Updated 3 years ago
• zxj32 / uncertainty-GNN
  Uncertainty Aware Semi-Supervised Learning on Graph Data
  ☆40Updated 4 years ago
• thudzj / NEigenmaps
  ☆12Updated last year
• divelab / Non-Local-GNN
  Official implementation of "Non-Local Graph Neural Networks" [TPAMI]
  ☆22Updated 2 years ago
• YiteWang / MetaNTK-NAS
  ☆13Updated 2 years ago
• miafei / NodeNorm
  ☆30Updated 2 years ago
• wyc-ruiker / HKD
  Code for ICCV 2021 paper "Distilling Holistic Knowledge with Graph Neural Networks"
  ☆44Updated 3 years ago
• Lifelong-ML / LASEM
  Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"
  ☆11Updated 3 years ago
• PKU-ML / ContraNorm
  Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
  ☆35Updated last year
• VITA-Group / L2-GCN
  [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
  ☆31Updated 3 years ago
• Yif-Yang / DSSL
  Official repo for Directional Self-supervised Learning for Heavy Image Augmentations [CVPR2022]
  ☆12Updated 2 years ago
• WOWNICE / ssl-small
  Code implementation for paper "On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals".
  ☆16Updated 3 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• weigq / neurips2021_stats
  ☆35Updated 3 years ago
• Somedaywilldo / AutoGCL
  AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)
  ☆45Updated 3 years ago
• TencentARC / SFDA
  ☆21Updated 2 years ago
• jiaqima / G3NN
  A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)
  ☆16Updated 3 years ago
• feifeiobama / InfluenceCL
  [CVPR 2023] Regularizing Second-Order Influences for Continual Learning
  ☆34Updated last year
• ChaofanTao / litegt
  [CIKM-21] Pytorch implementation of LiteGT: Efficient and Lightweight Graph Transformers
  ☆11Updated 3 years ago
• zhengyang-wang / sopool-gnns
  Second-Order Pooling for Graph Neural Networks
  ☆16Updated 4 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆45Updated 4 years ago
• allenhaozhu / COLES
  ☆21Updated 3 years ago
• SunQingYun1996 / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism""
  ☆9Updated 4 years ago
• yangxuntu / catt
  ☆12Updated 4 years ago
• ycjing / AmalgamateGNN.PyTorch
  PyTorch implementation of AmalgamateGNN (CVPR'21)
  ☆20Updated 2 years ago