mdeff / learning-from-graphs-webconf2021
Learning from Graphs: From Mathematical Principles to Practical Tools
☆11Updated 3 years ago
Alternatives and similar repositories for learning-from-graphs-webconf2021:
Users that are interested in learning-from-graphs-webconf2021 are comparing it to the libraries listed below
- Software relating to relational empirical risk minimization☆17Updated 3 years ago
- Code for core-fringe link prediction☆11Updated 5 years ago
- ☆12Updated 4 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 4 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 5 years ago
- ☆15Updated 4 years ago
- Dynamic programming algorithms for exact linear clustering in networks.☆16Updated last year
- Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'☆10Updated last year
- Programs for Microsoft Academic Graph☆16Updated 8 years ago
- Author Profiling for Abuse Detection (COLING 2018)☆10Updated 2 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 4 years ago
- Tensorflow port implementation of Single Headed Attention RNN☆16Updated 4 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- ☆25Updated 6 years ago
- An easy way to start a python programming environment using GitHub Codespaces.☆15Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆21Updated 2 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆49Updated last year
- A collection of utilities for writing labeling functions, transformation functions, and slicing functions.☆20Updated 4 years ago
- Temporal Walk Based Centrality Metric for Graph Streams☆14Updated last year
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Updated 2 years ago
- ☆29Updated 6 years ago
- Auxiliary variable Markov chain Monte Carlo methods☆10Updated 7 years ago
- Bayesian nonparametric models for python☆17Updated 6 years ago
- PyTorch Flexible Hash Embeddings☆28Updated 4 years ago
- ☆19Updated 4 years ago
- ☆10Updated 4 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 2 years ago
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition☆31Updated 2 years ago
- ☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.☆31Updated 2 years ago
- ☆13Updated 2 months ago