
Selfsupervised Heterogeneous Graph Neural Network with Cocontrastive Learning
Heterogeneous graph neural networks (HGNNs) as an emerging technique hav...
read it

Lorentzian Graph Convolutional Networks
Graph convolutional networks (GCNs) have received considerable research ...
read it

Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
Semisupervised learning on graphs is an important problem in the machin...
read it

Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Graph Neural Networks (GNNs) have received considerable attention on gra...
read it

Beyond Lowfrequency Information in Graph Convolutional Networks
Graph neural networks (GNNs) have been proven to be effective in various...
read it

Learning Node Representations from Noisy Graph Structures
Learning lowdimensional representations on graphs has proved to be effe...
read it

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Heterogeneous graphs (HGs) also known as heterogeneous information netwo...
read it

Joint Semantics and DataDriven Path Representation for Knowledge Graph Inference
Inference on a largescale knowledge graph (KG) is of great importance f...
read it

Heterogeneous Graph Neural Network for Recommendation
The prosperous development of ecommerce has spawned diverse recommendat...
read it

AMGCN: Adaptive Multichannel Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have gained great popularity in tack...
read it

Decorrelated Clustering with Data Selection Bias
Most of existing clustering algorithms are proposed without considering ...
read it

Structural Deep Clustering Network
Clustering is a fundamental task in data analysis. Recently, deep cluste...
read it

Hyperbolic Graph Attention Network
Graph neural network (GNN) has shown superior performance in dealing wit...
read it

MultiComponent Graph Convolutional Collaborative Filtering
The interactions of users and items in recommender system could be natur...
read it

GraLSP: Graph Neural Networks with Local Structural Patterns
It is not until recently that graph neural networks (GNNs) are adopted t...
read it

Graph Neural News Recommendation with Longterm and Shortterm Interest Modeling
With the information explosion of news articles, personalized news recom...
read it

Deep Collaborative Filtering with MultiAspect Information in Heterogeneous Networks
Recently, recommender systems play a pivotal role in alleviating the pro...
read it

Temporal Network Embedding with Micro and Macrodynamics
Network embedding aims to embed nodes into a lowdimensional space, whil...
read it

Relation StructureAware Heterogeneous Information Network Embedding
Heterogeneous information network (HIN) embedding aims to embed multiple...
read it
Chuan Shi
is this you? claim profile