Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
☆77Dec 13, 2019Updated 6 years ago
Alternatives and similar repositories for graph_2D_CNN
Users that are interested in graph_2D_CNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A convolutional neural network for graph classification in PyTorch☆91Feb 15, 2019Updated 7 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆84Jul 17, 2018Updated 8 years ago
- This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".☆157Dec 4, 2017Updated 8 years ago
- ☆11Apr 5, 2022Updated 4 years ago
- A fast MATLAB implementation of the Weisfeiler--Lehman graph transformation and associated kernel.☆11Oct 25, 2017Updated 8 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.
- A package for computing Graph Kernels☆103Jul 21, 2023Updated 3 years ago
- A python implementation of Patchy-San Convolutional Network for Graph☆41Dec 2, 2020Updated 5 years ago
- Four of the main kernels on graphs Python implementation.☆16Feb 5, 2017Updated 9 years ago
- crawling china stock recommendation from Sina Weibo, create pyecharts for data☆11Jan 26, 2018Updated 8 years ago
- ☆12May 31, 2021Updated 5 years ago
- For training very deep networks☆10Jun 12, 2017Updated 9 years ago
- Python class to easily deal with protein networks.☆21May 23, 2020Updated 6 years ago
- Code and data for paper AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks☆26May 2, 2018Updated 8 years ago
- The AutoPath pipeline for similarity modeling on heterogeneous networks with automatic path discovery☆11Sep 12, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆276Nov 6, 2022Updated 3 years ago
- ☆10Dec 21, 2019Updated 6 years ago
- RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding. AAAI18☆13May 25, 2020Updated 6 years ago
- Simple implementation of graph convolutional neural networks within 20 lines.☆11Jun 17, 2019Updated 7 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Mar 21, 2020Updated 6 years ago
- ☆19Nov 16, 2022Updated 3 years ago
- Pytorch implementation of some Network Embedding methods☆10May 29, 2018Updated 8 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆41Dec 6, 2019Updated 6 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆106Jan 28, 2020Updated 6 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆25Oct 26, 2018Updated 7 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆56Apr 27, 2020Updated 6 years ago
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆935Nov 6, 2022Updated 3 years ago
- ☆15May 19, 2017Updated 9 years ago
- PyTorch implementation of DGCNN☆397Sep 13, 2023Updated 3 years ago
- code for paper "Attributed Network Embedding via Subspace Discovery"☆21Jan 12, 2019Updated 7 years ago
- Douglas-Rachford Splitting for Optimal Transport☆12Oct 4, 2021Updated 4 years ago
- CPU-based multi-thread implementation of Task-guided and Path-augmented Heterogeneous Network Embedding☆17Jun 22, 2017Updated 9 years ago
- Max-margin DeepWalk☆73May 9, 2017Updated 9 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"☆49May 19, 2017Updated 9 years ago
- Tool for building deep / recurrent neural network models for systematic fundamental investing.☆17Jun 9, 2017Updated 9 years ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Feb 11, 2019Updated 7 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆54Sep 25, 2024Updated 2 years ago
- Python Open Fuzzy Cognitive Maps Library (with Web API)☆19Oct 21, 2018Updated 7 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆212Nov 6, 2022Updated 3 years ago
- ☆17Jun 3, 2022Updated 4 years ago