ihollywhy / DistillGCN.PyTorch
Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20
☆58Updated last year
Related projects ⓘ
Alternatives and complementary repositories for DistillGCN.PyTorch
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆41Updated 2 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- ☆33Updated 3 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆68Updated 11 months ago
- The implementation for the work "Graph-Free Knowledge Distillation for Graph Neural Networks".☆17Updated 3 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆50Updated last year
- Collection of resources related with Graph Contrastive Learning.☆34Updated 3 years ago
- ☆30Updated last year
- GFL for AAAI 2020☆31Updated 3 years ago
- Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)☆121Updated last year
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Updated 3 years ago
- Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR2022 Oral)☆25Updated 7 months ago
- Source code for PairNorm (ICLR 2020)☆76Updated 4 years ago
- Second-Order Pooling for Graph Neural Networks☆15Updated 4 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated last year
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR2021)☆52Updated 2 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 3 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆45Updated 4 years ago
- The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …☆73Updated 3 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆50Updated 2 years ago
- List of Publications in Graph Contrastive Learning☆35Updated 2 years ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆34Updated 2 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Updated 3 years ago
- Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…☆18Updated 2 years ago
- Implementation of Multi-View Information Bottleneck☆124Updated 4 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 3 months ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆21Updated last year
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆35Updated 2 years ago
- ☆62Updated 4 years ago