OuYangg / Multi-channel-RCNNLinks
☆12Updated 2 years ago
Alternatives and similar repositories for Multi-channel-RCNN
Users that are interested in Multi-channel-RCNN are comparing it to the libraries listed below
Sorting:
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- ☆69Updated 3 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- The source code of HeCo☆166Updated 3 years ago
- Heterogeneous Information Network Datasets☆18Updated 6 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆175Updated last year
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆137Updated 2 years ago
- Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021☆104Updated 9 months ago
- Python 3 supported version for DySAT☆12Updated 2 years ago
- ☆30Updated 3 years ago
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020☆30Updated 4 years ago
- ☆115Updated last year
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆39Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆262Updated 8 months ago
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 4 months ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆93Updated 3 years ago
- Implementation in TF2 of Community-Centric Graph Convolutional Network for Unsupervised Community Detection☆19Updated 3 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- ☆135Updated 2 years ago
- An implementation of paper: Dynamic Network Embedding: An Extended Approach for Skip-gram based Network Embedding☆17Updated 4 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆116Updated 4 months ago
- CDBNE☆15Updated 3 years ago
- A Survey of Learning from Graphs with Heterophily☆145Updated 5 months ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆116Updated 4 years ago
- A Unified Library for Deep Graph Clustering☆113Updated last week
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆62Updated 2 years ago
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆165Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆84Updated 8 months ago