BorgwardtLab / MotiFiestaLinks
Approximate subgraph motif mining through learnable edge contraction.
☆13Updated last year
Alternatives and similar repositories for MotiFiesta
Users that are interested in MotiFiesta are comparing it to the libraries listed below
Sorting:
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆35Updated 3 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 5 years ago
- N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)☆38Updated 4 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆79Updated 3 years ago
- Work on designing a graph co-attention algorithm.☆18Updated last year
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 3 years ago
- ☆28Updated 3 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆34Updated 4 years ago
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆29Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆82Updated 9 months ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 4 years ago
- Taxonomy of Benchmarks in Graph Representation Learning☆19Updated 2 years ago
- Paper list for equivariant neural network☆10Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆42Updated 3 years ago
- ☆25Updated 3 years ago
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆29Updated 3 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Updated 2 years ago
- Implementation of the Paper "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning" by Robin Winter, Fran…☆42Updated 2 years ago
- ☆24Updated last year
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago
- ☆18Updated last year
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Updated 2 years ago
- The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured …☆77Updated 11 months ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆58Updated 2 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated last year
- ☆35Updated 6 years ago