Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252
☆105Jun 15, 2021Updated 4 years ago
Alternatives and similar repositories for GSN
Users that are interested in GSN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Released code for [sigmod'21] A learned Sketch for Subgraph Counting☆21Sep 26, 2021Updated 4 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆72Mar 27, 2024Updated 2 years ago
- Graph Structured Neural Network☆40Aug 15, 2022Updated 3 years ago
- Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)☆43Jan 30, 2023Updated 3 years ago
- k-hop Graph Neural Networks☆19Jul 17, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆11Apr 16, 2020Updated 6 years ago
- Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"☆54Jul 25, 2024Updated last year
- ☆32Sep 22, 2021Updated 4 years ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆852Jul 4, 2024Updated last year
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆191Mar 22, 2022Updated 4 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆21Jan 27, 2022Updated 4 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated last year
- ☆26Jun 12, 2024Updated last year
- Source Code for AAAI 2022 paper "Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching"☆23Nov 13, 2022Updated 3 years ago
- 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.
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆90May 21, 2023Updated 2 years ago
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆23Jul 1, 2022Updated 3 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆62May 7, 2021Updated 5 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Jun 17, 2024Updated last year
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 3 years ago
- Distance Encoding for GNN Design☆188Mar 20, 2021Updated 5 years ago
- Graph Positional and Structural Encoder☆55Jan 24, 2025Updated last year
- ☆42May 20, 2020Updated 5 years ago
- ☆17May 2, 2022Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Hierarchical Graph Pooling with Structure Learning☆345Jul 12, 2021Updated 4 years ago
- Learning to Count Isomorphisms with Graph Neural Networks☆13Mar 27, 2023Updated 3 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆42Jun 10, 2021Updated 4 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆63Jun 9, 2021Updated 4 years ago
- ☆26Mar 26, 2024Updated 2 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆117Sep 9, 2024Updated last year
- ☆58Oct 29, 2021Updated 4 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Apr 4, 2021Updated 5 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Nov 15, 2023Updated 2 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.
- ☆14Aug 14, 2024Updated last year
- Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github …☆60Sep 23, 2024Updated last year
- official code for I2GNN.☆13Apr 24, 2023Updated 3 years ago
- ☆25Jul 15, 2021Updated 4 years ago
- ☆11Jul 6, 2023Updated 2 years ago
- Code for "Random Features Strengthen Graph Neural Networks" (SDM 2021)☆22Jan 18, 2021Updated 5 years ago
- Graph Transformers for Large Graphs☆22Apr 26, 2024Updated 2 years ago