Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
☆99May 29, 2020Updated 5 years ago
Alternatives and similar repositories for ntds_2016
Users that are interested in ntds_2016 are comparing it to the libraries listed below
Sorting:
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,368Jun 13, 2020Updated 5 years ago
- Multi-Graph Convolutional Neural Networks☆255Apr 13, 2018Updated 7 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 8 years ago
- PyTorch implementation of spectral graph ConvNets, NeurIPS’16☆292Oct 15, 2017Updated 8 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2018.☆58Dec 16, 2019Updated 6 years ago
- An implementation of Diffusion-Convolutional Neural Networks in Lasagne and Theano.☆35May 19, 2017Updated 8 years ago
- Max-margin DeepWalk☆72May 9, 2017Updated 8 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
- Companion of the book: "The Conversational Interface", by Michael McTear, Zoraida Callejas and David Griol, Springer 2016☆12Jul 11, 2016Updated 9 years ago
- Modified version of fairseq, including new implementations for criterions using reinforcement learning methods.☆11Aug 14, 2019Updated 6 years ago
- ☆12May 31, 2021Updated 4 years ago
- Learning from Graphs: From Mathematical Principles to Practical Tools☆11Apr 16, 2021Updated 4 years ago
- Gated Graph Sequence Neural Networks☆276Sep 19, 2018Updated 7 years ago
- Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09…☆68Dec 28, 2017Updated 8 years ago
- MotifWalk: Network local structural representation embedding.☆11Jul 18, 2017Updated 8 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,366Apr 14, 2023Updated 2 years ago
- ☆14May 22, 2017Updated 8 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆54May 5, 2020Updated 5 years ago
- Keras implementation of Graph Convolutional Networks☆794Apr 19, 2021Updated 4 years ago
- Source Code of GraRep☆52Feb 22, 2018Updated 8 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,519Aug 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 8 years ago
- Twitter stream and social network crawling tools☆17Nov 17, 2016Updated 9 years ago
- A convolutional neural network for graph classification in PyTorch☆91Feb 15, 2019Updated 7 years ago
- Graph Convolutional Networks (GCNs)☆920Feb 9, 2018Updated 8 years ago
- Deep Convolutional Inverse Graphics network (DCIGN) implementation with Tensorflow☆19Mar 26, 2018Updated 7 years ago
- Yahoo!'s topic modelling framework using Latent Dirichlet Allocation☆98Sep 21, 2011Updated 14 years ago
- Tri-Party Deep Network Representation, IJCAI-16☆75Feb 28, 2022Updated 4 years ago
- ☆32Nov 27, 2017Updated 8 years ago
- Social Media and Text Analytics Course at UPenn☆24Apr 16, 2023Updated 2 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆735Jan 20, 2022Updated 4 years ago
- Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video☆41May 22, 2023Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Jun 10, 2021Updated 4 years ago
- Graph Signal Processing in Python☆532Sep 11, 2025Updated 6 months ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,666Aug 4, 2024Updated last year
- ☆36Mar 30, 2018Updated 7 years ago
- Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.☆30Jan 1, 2016Updated 10 years ago