suamin / LowFERLinks
LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)
☆13Updated 3 years ago
Alternatives and similar repositories for LowFER
Users that are interested in LowFER are comparing it to the libraries listed below
Sorting:
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Updated last year
- Pytorch code for our work: Learning Label Correlations for Multi-Label Image Recognition with Graph Networks☆13Updated 4 years ago
- Few Shot Learning on Graphs☆33Updated 2 years ago
- A collection of graph contrastive learning methods.☆18Updated 3 years ago
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 4 years ago
- Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020☆23Updated 5 years ago
- GFL for AAAI 2020☆31Updated 4 years ago
- WSDM2022 Challenge - Large scale temporal graph link prediction☆38Updated 3 years ago
- ☆21Updated 2 years ago
- Code and data for paper DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning (WSDM 2022)☆16Updated 3 years ago
- Code for the paper "Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification" - ICDM 2019☆12Updated 2 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆57Updated 2 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆16Updated 4 years ago
- Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019☆13Updated 4 years ago
- This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.☆36Updated 4 years ago
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆48Updated 3 years ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Updated 3 years ago
- project GCN-VAE for knowledge graphs☆16Updated 5 years ago
- ☆20Updated 3 years ago
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- PyTorch code of “Out-of-Sample Representation Learning for Multi-Relational Graphs” (EMNLP 2020)☆10Updated 4 years ago
- ☆13Updated 4 years ago
- Graph Convolutional Networks for Text Classification.☆46Updated 5 years ago
- Ranking-based-Instance-Selection☆33Updated 4 years ago
- List of Publications in Graph Contrastive Learning☆34Updated 3 years ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆54Updated 3 years ago
- Second-Order Pooling for Graph Neural Networks☆16Updated 5 years ago
- Code for ICCV 2021 paper "Distilling Holistic Knowledge with Graph Neural Networks"☆43Updated 3 years ago
- Graph Knowledge Distillation☆13Updated 5 years ago
- Implementation of CIKM2020 -- Graph Prototypical Networks for Few-shot Learning on Attributed Networks☆49Updated 4 years ago