PhotoCollage Graphical tool to make photo collage posters PhotoCollage allows you to create photo collage posters. It assembles the input photographs it is given to generate a big poster. Photos are automatically arranged to fill the whole poster, then you can change the final layout, dimensions, border or swap photos in the generated grid. Eventually the final poster image can be saved in any size. The algorithm generates random layouts that place photos while taking advantage of all free space. […]

Continuous Query Decomposition Continuous Query Decomposition for Complex Query Answering in Incomplete Knowledge Graphs Update We implemented CQD in the KGReasoning framework, a library from SNAP implementing several Complex Query Answering models, which also supports experimenting with the Query2Box and BetaE datasets (in this repo, we only consider the former). Our implementation is available at this link. This repository contains the official implementation for our ICLR 2021 (Oral, Outstanding Paper Award) paper, Complex Query Answering with Neural Link Predictors: @inproceedings{ […]

TuckER TuckER: Tensor Factorization for Knowledge Graph Completion This codebase contains PyTorch implementation of the paper: TuckER: Tensor Factorization for Knowledge Graph Completion.Ivana Balažević, Carl Allen, and Timothy M. Hospedales.Empirical Methods in Natural Language Processing (EMNLP), 2019.[Paper] TuckER: Tensor Factorization for Knowledge Graph Completion.Ivana Balažević, Carl Allen, and Timothy M. Hospedales.ICML Adaptive & Multitask Learning Workshop, 2019.[Short Paper] Link Prediction Results Running a model To run the model, execute the following command: CUDA_VISIBLE_DEVICES=0 python main.py –dataset FB15k-237 –num_iterations 500 –batch_size […]

PY-IGS – The PYthon Interactive Graphical System Python Interactive Graphical System made during Computer Graphics classes (INE5420-2021.1) Installation To install this software you will need these dependencies (with their thevelopment libraries): Gtk 3.20+ PyGOBject Dependencies (libgirepository1.0-dev gcc libcairo2-dev pkg-config python3-dev gir1.2-gtk-3.0) Python 3.8+ Poetry (To install it, please visit the official install instructions) After install them, install python dependencieswith: poetry install How to Use Executing In order to execute this program, run the following command: poetry run python3 py_igs Navigation […]

dotmotif DotMotif is a library that identifies subgraphs or motifs in a large graph. It looks like this: # Look for all motifs of the form, # Neuron A excites B: A -> B [type = “excitatory”] # …and B inhibits C: B -> C [type = “inhibitory”] Or like this: TwitterInfluencer(person) { # An influencer has more than a million # followers and is verified. person.followers > 1000000 person.verified = true } InfluencerAwkward(person1, person2) { # Two people who […]

GraphLoG This project is an implementation of ‘Self-supervised Graph-level Representation Learning with Local and Global Structure’ in PyTorch, which is accepted as Short Talk by ICML 2021. We provide the pre-training and fine-tuning codes and also the pre-trained model on chemistry domain in this repository, and a more complete code version including the biology domain will be announced on the TorchDrug platform developed by MilaGraph group. Also, we would like to appreciate the excellent work of Pretrain-GNNs which lays a […]

Box Box is a text-based visual programming language inspired by Unreal Engine blueprint function graphs. $ cat factorial.box ┌─ƒ(Factorial)───┐ ┌─[Branch]─────┐ ┌─[Set]─┐ │ ►┼─────────────────────┼► True ►┼───────────────────────┼► ►┼─────────┐ ┌─[For Loop]───────────┐ ┌───────┐ │ n ○┼──┐ ┌──┼○ False ►┼──┐ ┌──────────┐ ┌───┼○ │ └─────────┼► Loop body ►┼───────────────────┼► │ └────────────────┘ │ ┌────────┐ │ │ │ │ │ result ○┼──┘ ┌─┼○ │ │ │ ┌──────────┐ ┌────┼○ *= │ ┌────┐ └────┼○ >= ○┼─┘ └──────────────┘ │ └──────────┘ │ └───────┘ ┌────┐ │ │ │ result ○┼─┘ ┌─┼○ │ │ 1 […]

DeepCDR Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network This work has been accepted to ECCB2020 and was also published in the journal Bioinformatics. DeepCDR is a hybrid graph convolutional network for cancer drug response prediction. It takes both multi-omics data of cancer cell lines and drug structure as inputs and predicts the drug sensitivity (binary or contineous IC50 value). Keras==2.1.4 TensorFlow==1.13.1 hickle >= 2.1.0 DeepCDR can be downloaded by git clone https://github.com/kimmo1019/DeepCDR Installation has been tested in […]

Neural Deformation Graphs Neural Deformation Graphs for Globally-consistent Non-rigid ReconstructionAljaž Božič, Pablo Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, Matthias NießnerCVPR 2021 (Oral Presentation) This repository contains the code for the CVPR 2021 paper Neural Deformation Graphs, a novel approach for globally-consistent deformation tracking and 3D reconstruction of non-rigid objects. Specifically, we implicitly model a deformation graph via a deep neural network and empose per-frame viewpoint consistency as well as inter-frame graph and surface consistency constraints in a self-supervised fashion. […]

PyIOmica (pyiomica) This repository contains PyIOmica, a Python package that provides bioinformatics utilities for analyzing (dynamic) omics datasets. PyIOmica extends MathIOmica usage to Python and implements new visualizations and computational tools for graph analyses. A. INSTALLATION Pre-Installation Requirements To install PyIOmica on any platform you need Python version 3.7 or higher Installation Instructions To install the current release from PyPI (Python Package Index) use pip: pip install pyiomica Alternatively, you can install directly from github using: pip install git+https://github.com/gmiaslab/pyiomica/ or […]