sheldonresearch / MGCNLinks
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020
☆30Updated 4 years ago
Alternatives and similar repositories for MGCN
Users that are interested in MGCN are comparing it to the libraries listed below
Sorting:
- The source code of HeCo☆168Updated 3 years ago
- ☆117Updated last year
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆176Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆63Updated 2 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- Code of paper "Joint Link Prediction and Network Alignment via Cross-graph Embedding"☆20Updated last year
- ☆47Updated 3 years ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆17Updated 3 years ago
- NeurIPS 2022 - SHGP☆31Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- Tail-GNN: Tail-Node Graph Neural Networks☆35Updated 4 years ago
- ☆75Updated 2 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆89Updated 3 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆45Updated 3 years ago
- Code for the paper "Balancing Consistency and Disparity in Network Alignment"☆10Updated 3 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆101Updated 2 years ago
- ☆45Updated 4 years ago
- ☆26Updated 3 years ago
- KDD'22☆64Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆118Updated 3 years ago
- ☆97Updated 4 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"☆25Updated 4 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆85Updated 9 months ago
- ☆48Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Updated 3 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- ☆38Updated 3 years ago