rusty1s / deep-graph-matching-consensusLinks
Implementation of "Deep Graph Matching Consensus" in PyTorch
☆269Updated 3 years ago
Alternatives and similar repositories for deep-graph-matching-consensus
Users that are interested in deep-graph-matching-consensus are comparing it to the libraries listed below
Sorting:
- ☆151Updated 5 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆101Updated 5 years ago
- ☆300Updated 3 years ago
- PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Mat…☆309Updated 10 months ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆188Updated 3 years ago
- A graph matching library for Python☆207Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆353Updated 5 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆343Updated 4 years ago
- Edge-Conditioned Convolutions on Graphs☆230Updated 6 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆285Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- PyTorch implementation of DGCNN☆391Updated last year
- ☆427Updated 6 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 4 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆318Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆122Updated last year
- ☆494Updated 4 years ago
- A PyTorch Geometric implementation of SimGNN with some extensions.☆61Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆200Updated 4 years ago
- ☆358Updated last year
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆204Updated 3 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆272Updated 5 months ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆334Updated 4 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆353Updated 2 months ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago