Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"
☆24Oct 14, 2023Updated 2 years ago
Alternatives and similar repositories for gnn_interactions
Users that are interested in gnn_interactions are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Graph Positional and Structural Encoder☆57Jan 24, 2025Updated last year
- WWW22 - MiDaS: Representative Hypergraph Sampling☆13May 7, 2024Updated 2 years ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆18Jan 31, 2023Updated 3 years ago
- Source code for ICDM 2022 paper "Set2Box: Similarity Preserving Representation Learning for Sets."☆14Dec 25, 2022Updated 3 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
- 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.
- Top1 Solution on OGB Challenge (Graph Property Prediction on HIV dataset)☆10Oct 20, 2021Updated 4 years ago
- Taxonomy of Benchmarks in Graph Representation Learning☆21Dec 1, 2022Updated 3 years ago
- Edge Proposal Sets for Link Prediction (https://arxiv.org/abs/2106.15810)☆22Jul 20, 2023Updated 3 years ago
- Notebooks to accompany sofroniew-vlasov-2015☆10May 18, 2019Updated 7 years ago
- Code accompanying the AAAI 2022 paper "fGOT: Graph Distances based on Filters and Optimal Transport"☆15Dec 8, 2022Updated 3 years ago
- ☆41Nov 14, 2022Updated 3 years ago
- gSparse: C++ Library for Graph Sparsification☆12Apr 25, 2020Updated 6 years ago
- Graph Transformers for Large Graphs☆22Apr 26, 2024Updated 2 years ago
- The official codes and implementations of the UnGSL method in the paper: **"Uncertainty-aware Graph Structure Learning"**.☆14Feb 28, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆38Dec 1, 2021Updated 4 years ago
- Benchmark Datasets for Generative Recommendation☆19May 26, 2026Updated 4 months ago
- The website of ZLST☆11Jul 5, 2026Updated 3 months ago
- ☆12Nov 22, 2024Updated last year
- Interactive SQL generation via editable step-by-step explanation☆17Sep 12, 2024Updated 2 years ago
- 在小米手环的表盘和快应用查看重要日子的倒计时☆13Updated this week
- Linear-time sampling algorithm for geometric inhomogeneous random graphs with a special case implementation for hyperbolic random graphs.☆17Dec 4, 2023Updated 2 years ago
- A Data Science pipeline for Algorithmic Trading: A comparative study in applications to Finance and cryptoeconomics☆14Jul 1, 2022Updated 4 years ago
- Introductory data structures and algorithms☆15Aug 13, 2021Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Using Simulated Annealing, Hill Climbing, and Genetic Algorithms to recreate images using shapes 🤖 🧬☆18Feb 26, 2023Updated 3 years ago
- Using Rainbow implementation in Chainer RL for Slime Volleyball Pixel Environment☆23Jun 8, 2020Updated 6 years ago
- ☆14Jul 22, 2021Updated 5 years ago
- Python implementation of PCA on graph ECTD☆12May 29, 2024Updated 2 years ago
- Official code of MoSA (Mixture of Sparse Adapters).☆13Dec 14, 2023Updated 2 years ago
- Repository for effective resistance sampling code to create network sparsifiers.☆11Dec 1, 2021Updated 4 years ago
- A learning-based method for high-fidelity database generation.☆18Nov 10, 2022Updated 3 years ago
- Message-Passing Monte Carlo (MPMC)☆27Oct 10, 2024Updated 2 years ago
- ☆27Mar 26, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official implementation of the paper "GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks".☆14Apr 1, 2025Updated last year
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 4 years ago
- Eye-MMS: Miniature multi-scale segmentation network of key eye-regions in embedded applications☆12Jul 4, 2022Updated 4 years ago
- code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"☆24Dec 29, 2021Updated 4 years ago
- The official codes and implementations of HimGNN model in paper:"HimGNN:a novel hierarchical molecular representations learning framewor…☆23Aug 30, 2023Updated 3 years ago
- CacheFlow is a Linux kernel module that exposes the contents of the last-level cache on *most* ARM machines.☆18Jun 19, 2024Updated 2 years ago
- ☆17May 5, 2023Updated 3 years ago