BorgwardtLab / MotiFiesta
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
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 4 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆34Updated 4 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆87Updated last year
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆77Updated 3 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 3 years ago
- The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured …☆74Updated 7 months ago
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 3 years ago
- Graph Positional and Structural Encoder☆46Updated last month
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆28Updated 2 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆43Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆55Updated 2 years ago
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆29Updated 3 years ago
- N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)☆39Updated 3 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 6 months ago
- Work on designing a graph co-attention algorithm.☆18Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆67Updated 11 months ago
- ☆62Updated 4 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆40Updated 3 years ago
- Implementation of the Paper "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning" by Robin Winter, Fran…☆42Updated 2 years ago
- ☆155Updated 3 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆45Updated last year
- ☆25Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 2 years ago
- This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…☆27Updated 2 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- ☆94Updated last year
- Molecular Explanation Generator☆17Updated 3 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 4 years ago
- ☆26Updated 3 years ago
- ☆24Updated 11 months ago