Yiminghh / HOG-DiffLinks
☆17Updated 7 months ago
Alternatives and similar repositories for HOG-Diff
Users that are interested in HOG-Diff are comparing it to the libraries listed below
Sorting:
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…☆38Updated 7 months ago
- Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures☆22Updated last year
- Graph Positional and Structural Encoder☆53Updated 7 months ago
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 3 years ago
- Simplicial neural network benchmarking software☆17Updated 3 years ago
- ☆17Updated 2 years ago
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆75Updated 4 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- 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
- Code for OGB competition☆12Updated last year
- Python-based persistent homology algorithms☆19Updated 2 years ago
- Code for paper E(n)-Equivariant Topological Neural Networks☆37Updated 9 months ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Updated 2 years ago
- Official Implementation of Graph Mixer Networks☆20Updated last year
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- Geometric Deep Learning @ University of Cambridge☆25Updated 6 months ago
- Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"☆40Updated 3 years ago
- The official implementation of the SGCN architecture.☆62Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Updated last year
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆24Updated last year
- Official Python implementation of Delaunay Component Analysis algorithm☆13Updated 3 years ago
- OTGNN code☆55Updated 5 years ago
- Edge-Augmented Graph Transformer☆50Updated 3 years ago
- Graph Transformers for Large Graphs☆22Updated last year
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year
- Hierarchical Graph Net☆36Updated 4 years ago
- Embedding graphs in symmetric spaces☆30Updated 3 years ago
- 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
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 2 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆14Updated 3 years ago