Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
☆98May 29, 2020Updated 6 years ago
Alternatives and similar repositories for ntds_2016
Users that are interested in ntds_2016 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,368Jun 13, 2020Updated 5 years ago
- source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…☆31May 20, 2017Updated 9 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2018.☆59Dec 16, 2019Updated 6 years ago
- A Python Tour of Data Science☆30Dec 15, 2017Updated 8 years ago
- An implementation of Diffusion-Convolutional Neural Networks in Lasagne and Theano.☆37May 19, 2017Updated 9 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.
- Max-margin DeepWalk☆73May 9, 2017Updated 9 years ago
- Network Embedding Survey and Resources☆41Feb 14, 2017Updated 9 years ago
- ☆12Dec 7, 2017Updated 8 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Oct 1, 2021Updated 4 years ago
- ☆33Nov 15, 2017Updated 8 years ago
- Learning from Graphs: From Mathematical Principles to Practical Tools☆11Apr 16, 2021Updated 5 years ago
- A Cython interface to FLANN☆24Nov 25, 2020Updated 5 years ago
- Gated Graph Sequence Neural Networks☆276Sep 19, 2018Updated 7 years ago
- MotifWalk: Network local structural representation embedding.☆11Jul 18, 2017Updated 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.
- ☆14May 22, 2017Updated 9 years ago
- ☆18Jun 27, 2016Updated 9 years ago
- Keras implementation of Graph Convolutional Networks☆793Apr 19, 2021Updated 5 years ago
- Source Code of GraRep☆53Feb 22, 2018Updated 8 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,518Aug 3, 2020Updated 5 years ago
- Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted…☆42Apr 29, 2017Updated 9 years ago
- Implementation of ComE algorithm☆59Jun 1, 2022Updated 4 years ago
- A convolutional neural network for graph classification in PyTorch☆91Feb 15, 2019Updated 7 years ago
- Twitter stream and social network crawling tools☆17Nov 17, 2016Updated 9 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.
- The world's only DJ Khaled quote generator JavaScript library.☆10Jan 9, 2016Updated 10 years ago
- Interact with CSV files as Python objects☆20Nov 5, 2013Updated 12 years ago
- Graph Convolutional Networks (GCNs)☆919Feb 9, 2018Updated 8 years ago
- The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, …☆53Nov 4, 2022Updated 3 years ago
- This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".☆157Dec 4, 2017Updated 8 years ago
- Yahoo!'s topic modelling framework using Latent Dirichlet Allocation☆98Sep 21, 2011Updated 14 years ago
- ☆32Nov 27, 2017Updated 8 years ago
- Tri-Party Deep Network Representation, IJCAI-16☆74Feb 28, 2022Updated 4 years ago
- Social Media and Text Analytics Course at UPenn☆25Apr 16, 2023Updated 3 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.
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆734Jan 20, 2022Updated 4 years ago
- Bayesian network models for inferring core-periphery structure☆39Nov 15, 2021Updated 4 years ago
- Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video☆41May 22, 2023Updated 3 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Jun 10, 2021Updated 5 years ago
- ☆12Jun 24, 2017Updated 8 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,699Aug 4, 2024Updated last year
- Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.☆30Jan 1, 2016Updated 10 years ago