idea-iitd / graphgenLinks
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation
☆58Updated last year
Alternatives and similar repositories for graphgen
Users that are interested in graphgen are comparing it to the libraries listed below
Sorting:
- Graph meta learning via local subgraphs (NeurIPS 2020)☆123Updated 10 months ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆77Updated 5 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 2 months ago
- ☆156Updated 3 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆110Updated last year
- Official Pytorch Implementation of GraphiT☆109Updated 3 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 3 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆41Updated 3 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 2 years ago
- This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…☆28Updated this week
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- ☆35Updated 5 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆101Updated 3 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 5 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆34Updated 4 years ago
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 3 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 5 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 10 months ago
- ☆62Updated 4 years ago
- Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (NeurIPS 2021) + Pytorch Implementation of recent attri…☆69Updated 3 months ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆79Updated 3 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆137Updated 2 years ago
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆26Updated 2 years ago
- ☆60Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆58Updated 2 years ago
- ☆31Updated 2 years ago