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21 search results found

Networkit ⭐ 711

NetworKit is a growing open-source toolkit for large-scale network analysis.

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

(CVPR 2021, Oral) Dynamic Slimmable Network

Dynamic Network Analysis library

Context specific and dynamic gene regulatory network reconstruction and analysis

The implementation of 'Image synthesis via semantic composition', ICCV2021.

Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

Din Group Activity Recognition Benchmark ⭐ 53

[ICCV 2021] A new codebase containing various methods for Group Activity Recognition. Paper title: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition.

(ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration

TILES: an algorithm for community discovery in dynamic social networks

[WSDM 2022] EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"

Trar Vqa ⭐ 23

This is the official pytorch implementation for our ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering" on VQA Task

Image super-resolution via dynamic network (CAAI Transactions on Intelligence Technology, 2023)

Generative adversarial network for normalizing and predicting time-dependent graphs with respect to a fixed template.

Timlinucb ⭐ 10

Temporal IMLinUCB - a solution for Online Influence Maximization problem in Temporal Networks (based on IMLinUCB)

Dynetlsm ⭐ 10

DynetLSM: latent space models for dynamic networks

DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.

Attributed Stream Hypergraph

RDyn: graph benchmark handling community dynamics

MuDCoD: Multi-subject Dynamic Community Detection

Chip Network Model ⭐ 6

Python implementation of the CHIP network model, published in NeurIPS 2020.

Pypytorch ⭐ 5

PyPyTorch is a simple deep learning framework implemented by Python3

Fgcs 2020 Dcd Dynamic Moga ⭐ 5

Code necessary to reproduce the experimentation presented in "A Multi-Objective Genetic Algorithm for Detecting Dynamic Communities using a Local Search driven Immigrant’s Scheme"

Provides classes to simulate epidemics on (potentially time-varying) networks using a Gillespie stochastic simulation algorithm or the classic agent based method.

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