amazon-science / gcp-with-gnns-exampleLinks
☆14Updated 3 years ago
Alternatives and similar repositories for gcp-with-gnns-example
Users that are interested in gcp-with-gnns-example are comparing it to the libraries listed below
Sorting:
- [DMKD-ECMLPKDD] Hierarchical Message-Passing Graph Neural Networks (https://arxiv.org/abs/2009.03717)☆22Updated 2 years ago
- ☆162Updated last year
- A curated list of graph reinforcement learning papers.☆75Updated 3 years ago
- ☆14Updated 3 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆103Updated 2 years ago
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…☆64Updated 4 years ago
- Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G wi…☆119Updated 5 years ago
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆41Updated last year
- SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks☆73Updated 11 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆91Updated last year
- Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".☆25Updated 2 years ago
- ☆10Updated 5 years ago
- ☆28Updated 4 years ago
- Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization☆15Updated 5 years ago
- Short examples using the PyTorch Geometric Temporal library for temporal Graph Neural Networks (GNN).☆20Updated 3 years ago
- Graph neural network implementation using numpy☆40Updated 6 years ago
- This repository combines recent works in deep learning spatio-temporal traffic prediction.☆29Updated 5 years ago
- Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.☆11Updated last year
- my implement of my paper☆66Updated 4 years ago
- ☆51Updated 4 years ago
- A PyTorch annotated replication of the paper: https://arxiv.org/abs/2006.10637☆17Updated 5 years ago
- Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecul…☆57Updated last year
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆38Updated 3 years ago
- ☆15Updated 2 years ago
- Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)☆34Updated 8 years ago
- ☆16Updated last year
- ☆13Updated last year
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆51Updated 3 years ago
- Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network☆26Updated 4 years ago
- Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks☆54Updated 3 years ago