huahuachang Goto Github PK

bokeh

The interactive demo of the interpretation of the anomaly detection with Triadic Motif Fields.

complex

Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).

ctgcn

k-core based Temporal Graph Convolutional Network for Dynamic Graphs

dartnet

Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

distance-encoding

Distance Encoding for GNN Design

dynamic-link-prediciton-using-e-lstm-d

Reference: @article{chen2019lstm, title={E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction}, author={Chen, Jinyin and Zhang, Jian and Xu, Xuanheng and Fu, Chengbo and Zhang, Dan and Zhang, Qingpeng and Xuan, Qi}, journal={arXiv preprint arXiv:1902.08329}, year={2019} }

dynamictriad

Dynamic Network Embedding by Modeling Triadic Closure Process

dynetx

Dynamic Network Analysis library

dysat

Representation learning on dynamic graphs using self-attention networks

evolvegcn

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

evonrl

Evolving Network Representation Learning Based on Random Walks

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-representation-learning

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

graph-substructure-networks

hsrl

Learning Topological Representation for Networks via Hierarchical Sampling

huahuachang

Config files for my GitHub profile.

k-hop-gnns

k-hop Graph Neural Networks

ldg

PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"

leap

LEAP (Learning Edges by Aggregation of Paths)

link_pred_spark

similarity between graph nodes based on local information with PySpark

linkprediction

Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"

machine_learning

机器学习、深度学习、数据挖掘算法小练习存档，包括Iris_classification、face_recognition_and_similar_face_found、handwriting_recognition、newsgroups_classification等。

mflica

Given a set of time series of individual activities, our goal is to identify periods of coordinated activity, find factions of coordination if more than one exist, as well as identify leaders of each faction from a set of multivariate time series.

mmdne

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

p-wl

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

pro-gnn

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

pytorch_geometric_temporal

A Temporal Extension Library for PyTorch Geometric

simp-gcn

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

sparsewl

Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"