dynamic-graphs

There are 6 repositories under dynamic-graphs topic.

KimMeen / Awesome-GNN4TS
📈 Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759
dynamic-graphs graph-neural-networks graph-structure-learning spatial-temporal-data spatial-temporal-forecasting temporal-data temporal-graphs time-series-analysis time-series-anomaly-detection time-series-classification time-series-forecasting time-series-imputation awesome survey time-series
441
Cantoria / dynamic-graph-papers
Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph
dynamic-graphs dynamic-heterogeneous-networks social-network social-knowledge-graph temporal-networks temporal-knowledge-graph
394
aravindsankar28 / DySAT
Representation learning on dynamic graphs using self-attention networks
dynamic-graphs self-attention graph-neural-network graph-embedding
Language:Python 272
domargan / awesome-dynamic-graphs
A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
graph graphs dynamic-graphs dynamic-graph-processing streaming-graphs streaming-graph-processing temporal-graphs temporal-graph-processing streaming-graph-data graph-databases graph-datastructures awesome awesome-list awesome-lists graph-processing graph-analytics evolving-graphs datasets
119
VGraphRNN / VGRNN
Variational Graph Recurrent Neural Networks - PyTorch
variational-autoencoder graph-auto-encoder representation-learning variational-inference graph-convolutional-networks graph-embedding node-embedding graph-neural-networks graph-neural-network variational-autoencoders graph-representation-learning dynamic-graphs link-prediction
Language:Python 107
jhljx / CTGCN
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
dynamic-graphs graph-convolutional-network graph-representation-learning network-embedding graph-neural-networks graph-embedding dynamic-graph-algorithm dynamic-graph-processing graph-embedding-approaches link-prediction edge-classification graph-centrality-prediction node-classification dynamic-graph-embedding graph-neural-network temporal-graph-networks
Language:Python 89
KuangenZhang / ldgcnn
Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features
point-cloud dynamic-graphs shapenet-dataset modelnet-dataset cnn point-cloud-classification point-cloud-segmentation
Language:Python 74
jxh4945777 / Social-Knowledge-Graph-Papers
A paper list of research about social knowledge graph
dynamic-graphs graph-neural-network dynamic-heterogeneous-networks heterogeneous-network social-network knowledge-graph
56
KimMeen / Neural-Temporal-Walks
[NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"
dynamic-graph-embedding dynamic-graphs graph-neural-networks graph-representation-learning
Language:Python 50
EdisonLeeeee / SpikeNet
[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
dynamic-graphs graph-neural-networks spiking-neural-networks temporal-graph-networks
Language:Python 45
CRIPAC-DIG / DGCF
[ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."
recommender-system collaborative-filtering dynamic-graphs
Language:Python 40
KuroginQin / OpenTLP
[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.
dynamic-graph-algorithm dynamic-graph-embedding dynamic-graphs dynamic-link-prediction inductive-learning link-prediction overview survey temporal-link-prediction weighted-graphs attention gnns nmf rnns
Language:Python 38
aravindsankar28 / GraFRank
Code for "Graph Neural Networks for Friend Ranking in Large-scale Social Platforms" (WWW 2021).
graph-neural-network pytorch-geometric dynamic-graphs graph-embedding social-network friend-recommendation
Language:Python 31
minjiyoon / KDD19-AnomRank
Anomaly Detection in Dynamic Graphs
anomaly-detection dynamic-graphs pagerank
Language:C++ 29
shixuansun / RapidFlow
Source code of "RapidFlow: An Efficient Approach to Continuous Subgraph Matching" published in VLDB'2022 - By Shixuan Sun, Xibo Sun, Bingsheng He and Qiong Luo
dynamic-graphs streaming subgraph-matching subgraph-query-processing continuous-subgraph-matching
Language:C++ 25
MultiscaleSnapshots
eren-ck / MultiscaleSnapshots
Visual Analysis of Temporal Summaries in Dynamic Graphs (IEEE TVCG)
temporal-summaries dynamic-graphs visual-analysis visual-analytics graph2vec network-analytics networkx-graph graph-embedding network-embedding networkx graph-drawing
Language:JavaScript 14
domargan / parallel-packed-csr
A parallel packed CSR data structure for large-scale dynamic graphs
dynamic-graphs stream-graphs streaming-graph-processing streaming-graph-data graph-processing evolving-graphs graph-datastructures graph-data csr data-structures graph-databases graph graphs pcsr packed-memory-array
Language:C++ 13
zeno129 / DYMOND
DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.
dynamic-graphs motifs dynamic-networks graph-generative-model
Language:Python 12
enoche / tGraphAD
Research sources on graph-based anomaly detection
anomaly-detection dynamic-graphs fraud-detection graph-based spatio-temporal time-series
11
johnny12150 / DySAT_python3
Python 3 supported version for DySAT
dynamic-graphs link-prediction attention attention-network
Language:Python 11
simondelarue / dynGNN
Representation and learning framework for dynamic graphs using Graph Neural Networks.
graph-neural-networks deep-learning node-embeddings dynamic-graphs temporal-networks
Language:Python 9
jmftrindade / awesome-temporal-graphs
A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
awesome awesome-list awesome-lists datasets dynamic-graph-processing dynamic-graphs evolving-graphs graph graph-analytics graph-databases graph-datastructures graph-processing graphs streaming-graph-data streaming-graph-processing streaming-graphs temporal-graph-processing temporal-graphs
8
pedugnat / dynnode2vec
dynnode2vec is a python package that implements algorithms to embed dynamic graphs
dynamic-graphs embeddings graphs implementation-of-research-paper
Language:Python 8
zakimjz / dagger-index
DAGGER: Reachability Index for Dynamic Graphs
graph-indexing reachability dynamic-graphs
Language:C++ 7
KuroginQin / IDEA
[TKDE'23] Demo code of the paper entitled "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation", which has been accepted by IEEE TKDE
dynamic-graphs dynamic-link-prediction link-prediction temporal-graphs temporal-link-prediction weighted-graphs dynamic-graph-representation-learning dynamic-network-embedding graph-representation-learning inductive-learning network-embedding tkde
Language:Python 6
lkoshale / DA_STAR
A* ( Star) algorithm for dynamic graphs on GPU
astar-algorithm astar-search-algorithm dynamic-graph-algorithm dynamic-graphs gpu gpu-accelerated-library
Language:Cuda 6
StraphX / Straph
Straph is a Python package for the modelisation, analysis and visualisation of Stream Graphs (https://arxiv.org/abs/1710.04073).
algorithms temporal-networks dynamic-graphs graph-algorithms
Language:Python 5
dtortorella / dyngraphesn
Dynamic Graph Echo State Networks
graph echo-state-networks esn dynamic-graphs temporal-graphs
Language:MATLAB 4
MotionGlyphs
eren-ck / MotionGlyphs
Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior (EuroVis2020)
spatio-temporal-analysis spatio-temporal-data dynamic-networks dynamic-network dynamic-graphs collective-behavior collective-behaviour animal-behavior animal-movement animal-behaviour
Language:JavaScript 4
wondergo2017 / sild
Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"
disentangled-representations distribution-shift dynamic dynamic-graphs fourier-methods graph-neural-networks machine-learning out-of-distribution-generalization spectral-analysis
Language:Python 4
dg2pix
eren-ck / dg2pix
Pixel-Based Visual Analysis of Dynamic Graphs (VDS 2020 at IEEE VIS20)
dynamic-graphs graph-embedding network-analytics network-embedding networkx-graph pixel-based-visualization visual-analysis visualization
Language:JavaScript 3
senguptaneha / temporalReachabilityC
ARROW: Approximating Reachability using Random walks Over Web scale graphs
reachability dynamic-graphs temporal-graphs random-walk
Language:C++ 3
barkincavdaroglu / Link-Prediction-Mesh-Network
PyTorch Implementation of a Deep Learning Model for Temporal Link Prediction in MANETs
attention-mechanism dynamic-graphs generative-adversarial-network graph-neural-networks manets
Language:Python 2
erfanloghmani / myket-android-application-market-dataset
This Myket Dataset comprises Android application install interactions from a subset of users in the Myket Android application market.
dynamic-graphs graph-dataset graph-datasets recommendation-datasets temporal-networks temporal-network
Language:Jupyter Notebook 2
NemesLaszlo / GraphS-system
This repository contains a our work about the "Real-time Constrained Cycle Detection in Large Dynamic Graphs" paper, which present a GraphS system to efficiently detect constrained cycles in a dynamic graph, which is changing constantly, and return the satisfying cycles in real-time.
java graph jgrapht dynamic-graphs dynamic-graph-algorithm
Language:Java 2
zeno129 / DYANE
DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.
attributed-graphs dynamic-graphs dynamic-networks graph-generative-model motifs node-embeddings temporal-graphs text-embeddings
Language:Python 2