graphhypergraph Goto Github PK

deepwalk

DeepWalk - Deep Learning for Graphs

dhgnn

DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

embeddinganomalydetection

Codes for paper "An Embedding Approach to Anomaly Detection."

graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

hebe

Large-Scale Embedding Learning in Heterogeneous Event Data

hegan

Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"

hgnn

Hypergraph Neural Networks (AAAI 2019)

hypergraph-and-graph-neural-network-hgnn-gnn--

Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of graphs. In this paper ,a new neural network model has propose which called graph neural network (GNN)

hypergraph_nn

Repository for initial analysis of Graph Neural Networks on hypergraphs

link-prediction

Representation learning for link prediction within social networks

medium

Code related to blog posts on my Medium page

node2vec

Implementation of the node2vec algorithm.

node_embeddings

This project compares different node embeddings with one shared evaluation protocol.

pytorch-hegan

Pytorch implement of HeGAN(Adversarial Learning on Heterogeneous Information Networks)

uaga

unignn

Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).