80 papers with code ·
Graphs

( Image credit: Hierarchical Graph Pooling with Structure Learning )

Extensive experiments have been done on several benchmark graph datasets, and the results demonstrate that GB-DISTANCE can out-perform the existing baseline methods, especially the recent graph neural network model based graph metrics, with a significant gap in computing the graph distance.

GRAPH CLASSIFICATION GRAPH CLUSTERING GRAPH MATCHING METRIC LEARNING

In this paper, we will examine the effectiveness of GRAPH-BERT on graph instance representation learning, which was designed for node representation learning tasks originally.

#3 best model for Graph Classification on IMDb-B

Specifically, it complements either the edge label information or the structural information which Graph2vec misses with the embeddings of the line graphs.

Multi-relational graphs are a more general and prevalent form of graphs where each edge has a label and direction associated with it.

GRAPH CLASSIFICATION KNOWLEDGE GRAPH EMBEDDING LINK PREDICTION NODE CLASSIFICATION

Both the coarsening matrix and the transport cost matrix are parameterized, so that an optimal coarsening strategy can be learned and tailored for a given set of graphs.

We believe that this work can contribute to the development of the graph learning field, by providing a much needed grounding for rigorous evaluations of graph classification models.

Graph Neural Networks (GNN) have been shown to work effectively for modeling graph structured data to solve tasks such as node classification, link prediction and graph classification.

#2 best model for Graph Classification on FRANKENSTEIN

HGP-SL incorporates graph pooling and structure learning into a unified module to generate hierarchical representations of graphs.

Multi-relational graphs are a more general and prevalent form of graphs where each edge has a label and direction associated with it.

#8 best model for Link Prediction on FB15k-237

GRAPH CLASSIFICATION KNOWLEDGE GRAPH EMBEDDING LINK PREDICTION NODE CLASSIFICATION

In recent years there has been a rapid increase in classification methods on graph structured data.