gmum / geo-gcnLinks
The official implementation of the SGCN architecture.
☆62Updated 3 years ago
Alternatives and similar repositories for geo-gcn
Users that are interested in geo-gcn are comparing it to the libraries listed below
Sorting:
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).☆23Updated 4 years ago
- ☆62Updated 4 years ago
- ☆28Updated 3 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 4 years ago
- SignNet and BasisNet☆98Updated last year
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆62Updated 3 years ago
- ☆156Updated 3 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆79Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Hierarchical Graph Net☆35Updated 3 years ago
- ☆44Updated 7 years ago
- OTGNN code☆55Updated 5 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆58Updated 2 years ago
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆107Updated 3 years ago
- Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation☆54Updated 6 years ago
- Source code for PairNorm (ICLR 2020)☆78Updated 5 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆69Updated last year
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 5 years ago
- ☆54Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- Official Pytorch Implementation of GraphiT☆109Updated 3 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 4 years ago
- Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)☆58Updated 5 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 3 months ago
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories☆83Updated 3 years ago
- Bayesian MPNNs for Molecular Property Prediction☆27Updated 4 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