cmavro / Graph-InfoClust-GICLinks
[PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
☆34Updated 3 years ago
Alternatives and similar repositories for Graph-InfoClust-GIC
Users that are interested in Graph-InfoClust-GIC are comparing it to the libraries listed below
Sorting:
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 3 years ago
- Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019☆45Updated 5 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆45Updated 3 years ago
- HDGI code☆63Updated 5 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆201Updated 4 years ago
- The source code of HeCo☆168Updated 3 years ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆76Updated 3 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆102Updated 4 years ago
- An VGAE implementation using pytorch geometric.☆46Updated 5 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- (CIKM'21) Variational Graph Normalized Auto-Encoders☆36Updated 3 years ago
- ☆26Updated 4 years ago
- ☆39Updated 4 years ago
- ☆135Updated 2 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆89Updated 10 months ago
- A list for GNNs and related works.☆99Updated 2 months ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆31Updated 2 years ago
- A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders☆14Updated 5 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- hypergraph representation learning, graph neural network☆98Updated last year
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆56Updated 2 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆150Updated 2 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆114Updated last year
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆42Updated 4 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Updated 5 months ago