phython96 / ARGNPLinks
Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR 2022 Oral)
☆26Updated last year
Alternatives and similar repositories for ARGNP
Users that are interested in ARGNP are comparing it to the libraries listed below
Sorting:
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆57Updated 2 years ago
- [NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation☆41Updated 2 years ago
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR 2021)☆52Updated 3 years ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆35Updated 3 years ago
- ☆12Updated last year
- ☆17Updated 2 years ago
- ☆13Updated 4 years ago
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆52Updated 4 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. ECCV 2022.☆18Updated 3 years ago
- [CVPR2020] Tensorflow implementation for paper ''Distribution-induced Bidirectional Generative Adversarial Network for Graph Representati…☆28Updated 3 years ago
- Official repo for Directional Self-supervised Learning for Heavy Image Augmentations [CVPR2022]☆12Updated 3 years ago
- PyTorch implementation of AmalgamateGNN (CVPR'21)☆21Updated 3 years ago
- Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks☆54Updated 2 years ago
- ☆26Updated 3 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆16Updated 4 years ago
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆84Updated 3 years ago
- Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…☆20Updated 3 years ago
- Awesome papers in machine learning theory☆11Updated 3 years ago
- ☆10Updated 3 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- C-Mixup for NeurIPS 2022☆73Updated last year
- Second-Order Pooling for Graph Neural Networks☆16Updated 5 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆41Updated 4 years ago
- ☆14Updated 3 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆11Updated 4 years ago
- some examples for drawing illustration plots for paper using seaborn package☆15Updated 5 years ago
- Official implementation of Our NeurIPS 2024 Paper "Boundary Matters: A Bi-Level Active Finetuning Method"☆13Updated 7 months ago
- Code for ICCV 2021 paper "Distilling Holistic Knowledge with Graph Neural Networks"☆43Updated 3 years ago
- ☆13Updated 3 years ago