Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018
☆28Oct 21, 2020Updated 6 years ago
Alternatives and similar repositories for A-simple-baseline-algorithm-for-graph-classification
Users that are interested in A-simple-baseline-algorithm-for-graph-classification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019☆13Oct 21, 2020Updated 6 years ago
- Multi-Graph Multi-Label Learning☆11May 30, 2018Updated 8 years ago
- Graph Embedding via Frequent Subgraphs☆44May 5, 2020Updated 6 years ago
- ☆16Apr 11, 2020Updated 6 years ago
- WKPI: A kernel based on persistent homology☆12May 17, 2020Updated 6 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.
- A package for computing Graph Kernels☆33Jul 26, 2018Updated 8 years ago
- Deep Graph Kernels☆13Nov 1, 2015Updated 10 years ago
- ☆42May 20, 2020Updated 6 years ago
- Fast embedding-based graph classification with connections to kernels☆13May 6, 2020Updated 6 years ago
- A convolutional neural network for graph classification in PyTorch☆91Feb 15, 2019Updated 7 years ago
- ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation☆10Apr 18, 2019Updated 7 years ago
- Optimization tool for calibrating coarse-grained force fields of lipids, relying on the simultaneous usage of reference AA trajectories (…☆10Jun 6, 2023Updated 3 years ago
- Learning image representations for anomaly detection: application to discovery of histological alterations in drug development☆23Jan 9, 2024Updated 2 years ago
- Keras implementation of `Decoupled Neural Interfaces using Synthetic Gradients`☆13Oct 19, 2018Updated 8 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.
- A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.☆23Jun 11, 2019Updated 7 years ago
- ELEC6910R & COMP6211C: Robotic Perception of HKUST, public shared files, including tutorials, project topics(in the future)☆11Sep 12, 2020Updated 6 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆129Jun 7, 2025Updated last year
- KnetMaps: a BioJS component to visualize biological knowledge networks☆10Apr 14, 2025Updated last year
- A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"☆65Aug 10, 2023Updated 3 years ago
- Resources for grounding protein families and complexes from text and describing their hierarchical relationships.☆18Mar 26, 2026Updated 7 months ago
- This is a python script to optimize chemical kinetic reaction mechanisms written in FlameMaster format.☆10May 19, 2017Updated 9 years ago
- Source for mythoughtsareyours.yolk.cc☆14Dec 1, 2014Updated 11 years ago
- LDP for graph classification☆23Nov 14, 2019Updated 6 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.
- ☆15Nov 19, 2018Updated 7 years ago
- Official Code Repository for the paper "Graph Self-supervised Learning with Accurate Discrepancy Learning" (NeurIPS 2022)☆18Oct 10, 2022Updated 4 years ago
- The Tangled Genealogy of IoT Malware☆12Jan 5, 2021Updated 5 years ago
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11May 10, 2024Updated 2 years ago
- Representation Learning of Entities and Documents from Knowledge Base Descriptions☆18Oct 6, 2018Updated 8 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆179May 14, 2018Updated 8 years ago
- Pytorch implementation of XGNN☆10Jan 20, 2021Updated 5 years ago
- ☆15Oct 26, 2021Updated 5 years ago
- ☆10Jun 21, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆212Nov 6, 2022Updated 3 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆84Jul 17, 2018Updated 8 years ago
- This is a set of Python scripts written for Researchers to run more robust analysis with Fuzzy Cognitive Maps☆10Apr 30, 2021Updated 5 years ago
- Dynamic benchmark code for Phys. Rev. E 92, 012805☆10Sep 4, 2015Updated 11 years ago
- ☆12Apr 2, 2021Updated 5 years ago
- LEAP (Learning Edges by Aggregation of Paths)☆12Feb 2, 2024Updated 2 years ago
- Learning Graph Distances with Message PassingNeural Networks☆13Jul 25, 2024Updated 2 years ago