canqin001 / Efficient_Graph_Similarity_Computation
[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
☆41Updated 2 years ago
Alternatives and similar repositories for Efficient_Graph_Similarity_Computation
Users that are interested in Efficient_Graph_Similarity_Computation are comparing it to the libraries listed below
Sorting:
- [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks☆31Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- ☆30Updated 2 years ago
- attention mechanism for graph classification, significant sub-graph mining, graph disstillation☆38Updated 4 years ago
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR 2021)☆52Updated 3 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 3 years ago
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆22Updated 2 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆57Updated 2 years ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆34Updated 3 years ago
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 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
- [CVPR2020] Tensorflow implementation for paper ''Distribution-induced Bidirectional Generative Adversarial Network for Graph Representati…☆29Updated 3 years ago
- Source code of GResNet☆16Updated 4 years ago
- Distillation Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages.☆15Updated 3 years ago
- Few Shot Learning on Graphs☆33Updated 2 years ago
- Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR 2022 Oral)☆26Updated last year
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism""☆9Updated 4 years ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆55Updated 3 years ago
- A collection of graph contrastive learning methods.☆18Updated 3 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆68Updated last year
- source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"☆26Updated 3 years ago
- LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)☆13Updated 2 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆15Updated 4 years ago
- The Web Conference 2020: Structure-Feature based Graph Self-adaptive Pooling☆28Updated 5 years ago
- Graph Knowledge Distillation☆13Updated 5 years ago
- Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20☆51Updated 4 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆83Updated 2 years ago
- ☆42Updated 4 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 7 months ago