66 skills found · Page 1 of 3
graphframes / GraphframesGraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
ZYangChen / MoCha Stereo[CVPR2024] The official implementation of "MoCha-Stereo: Motif Channel Attention Network for Stereo Matching”. & [arXiv] The official implementation of "Motif Channel Opened in a White-Box: Stereo Matching via Motif Correlation Graph"
benedekrozemberczki / EdMotAn implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
aplbrain / DotmotifA performant, powerful query framework to search for network motifs
budach / Pyssterpysster: Learning Sequence And Structure Motifs In Biological Sequences Using Convolutional Neural Networks
gtremper / Network MotifPython wrapper for the Kavosh network motif finder
ZhaoningYu1996 / HM GNNOfficial PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"
p-koo / Learning Sequence Motifs"Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy
asmitapoddar / Deep Learning DNA SequencesDeep learning for identifying important motifs in DNA sequences. Exploration of the structure of the human genome by training neural network architectures (CNN, LSTM, Attention).
stoufferlab / PymfinderA Python package with which to find network motifs in complex networks and to analyze a growing list of network-motif related stuff.
VIB-PSB / MINI EXMotif-Informed Network Inference of cell type-specific gene regulatory networks in plants
EdoardoGruppi / Drug Design ModelsThis project is a reimplementation of the models introduced in the following papers: "Multiobjective de novo drug design with recurrent neural networks and nondominated sorting", "REINVENT 2.0: An AI Tool for De Novo Drug Design", "Hierarchical generation of molecular graphs using structural motifs", "Mol-CycleGAN: a generative model for molecular optimization", "Multi-objective de novo drug design with conditional graph generative model" and "Graph convolutional policy network for goal-directed molecular graph generation".
RiemannGraph / MotifRGCMotif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
shmohammadi86 / KavoshKavosh: a new algorithm for finding network motifs
Graph-and-Geometric-Learning / TempMEOfficial Implementation of "TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery"
marioangst / MotifrMotif analysis in multi-level networks
zeno129 / DYMONDDYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.
drewconway / GMMThis package provides a basic framework and supporting functionality for generating network structure network structure using graph motifs.
yuzhimanhua / MotifClassMotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information (WSDM'22)
lauradriscoll / Flexible Multitaskcode for the paper, "flexible multitask computation in recurrent networks utilizes shared dynamical motifs"
