☆32Sep 22, 2021Updated 4 years ago
Alternatives and similar repositories for SMP
Users that are interested in SMP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆42Jun 10, 2021Updated 5 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆21Jan 27, 2022Updated 4 years ago
- Graph Transformers for Large Graphs☆22Apr 26, 2024Updated 2 years ago
- ☆11Apr 16, 2020Updated 6 years ago
- ☆42May 20, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆35Feb 20, 2020Updated 6 years ago
- Taxonomy of Benchmarks in Graph Representation Learning☆21Dec 1, 2022Updated 3 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Apr 4, 2021Updated 5 years ago
- SignNet and BasisNet☆101Jul 25, 2023Updated 3 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 4 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆25May 20, 2020Updated 6 years ago
- Implicit Graph Neural Networks☆63Nov 15, 2021Updated 4 years ago
- Codes for graphlet counting☆11Dec 11, 2017Updated 8 years ago
- Equivariant Mesh Attention Networks☆20Aug 30, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆11Jun 21, 2022Updated 4 years ago
- ☆32Apr 14, 2023Updated 3 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆22Jan 26, 2023Updated 3 years ago
- ☆10Nov 17, 2020Updated 5 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Jun 9, 2020Updated 6 years ago
- Graph Positional and Structural Encoder☆57Jan 24, 2025Updated last year
- Source code for PairNorm (ICLR 2020)☆78Mar 26, 2020Updated 6 years ago
- ☆26Jul 15, 2021Updated 5 years ago
- A network-based approach to study swarm intelligence☆14Sep 17, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024☆19Oct 17, 2023Updated 2 years ago
- Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"☆12Jan 17, 2023Updated 3 years ago
- Hierarchical Graph Net☆36Jul 19, 2021Updated 5 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 5 years ago
- ☆16May 20, 2020Updated 6 years ago
- A PyTorch implementation of The ICLR 2019 paper "Invariant and Equivariant Graph Networks" by Haggai Maron, Heli Ben-Hamu, Nadav Shamir a…☆17Mar 7, 2022Updated 4 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Jul 30, 2020Updated 6 years ago
- Low Rank Global Attention for Graph Neural Networks☆12Aug 5, 2020Updated 6 years ago
- Code for abstracting, evaluating, and visualizing Markov Decision Processes.☆10Jan 12, 2017Updated 9 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Sample pytorch implementation of Covariant Compositional Networks☆13Feb 17, 2018Updated 8 years ago
- LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation ICML_2023☆13Oct 27, 2023Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆100Apr 25, 2022Updated 4 years ago
- Extending the Neural Graph Algorithm Executor☆13Dec 8, 2022Updated 3 years ago
- The code implementation of HyGRAG, accepted by WWW'26.☆15Jun 15, 2026Updated 2 months ago
- ☆10Sep 25, 2019Updated 6 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Jan 28, 2020Updated 6 years ago