cf020031308 / LinkDistLinks
Distillation Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages.
☆15Updated 4 years ago
Alternatives and similar repositories for LinkDist
Users that are interested in LinkDist are comparing it to the libraries listed below
Sorting:
- ☆20Updated 3 years ago
- ☆12Updated 4 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 4 years ago
- ☆21Updated 3 years ago
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆46Updated 3 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".☆22Updated 3 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆54Updated 2 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- ☆29Updated 2 years ago
- ☆76Updated 3 years ago
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 4 years ago
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆21Updated last year
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 4 years ago
- List of Publications in Graph Contrastive Learning☆35Updated 3 years ago
- The pytorch implementation of Cluster-Aware Supervised Contrastive Learning on Graphs (WWW 2022).☆11Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- ☆21Updated 2 years ago
- WSDM2022 Challenge - Large scale temporal graph link prediction☆38Updated 3 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆29Updated 2 years ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆54Updated 3 years ago
- Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…☆20Updated 2 years ago
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Updated 11 months ago
- The source code for BatchSampler that accepted in KDD'23☆18Updated last year
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago