Link prediction is a task to estimate the probability of links between nodes in a graph.
( Image credit: Inductive Representation Learning on Large Graphs )
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This approach is often referred to as neural collaborative filtering (NCF).
Ranked #6 on Link Prediction on Yelp
Furthermore, Cluster-GCN allows us to train much deeper GCN without much time and memory overhead, which leads to improved prediction accuracy---using a 5-layer Cluster-GCN, we achieve state-of-the-art test F1 score 99. 36 on the PPI dataset, while the previous best result was 98. 71 by .
Ranked #1 on Node Classification on Pubmed (F1 metric)
Recent interest in graph embedding methods has focused on learning a single representation for each node in the graph.
Motivated by this observation, we propose a graph representation learning method called Graph InfoClust (GIC), that seeks to additionally capture cluster-level information content.
Ranked #1 on Link Prediction on Citeseer
The task becomes more challenging on temporal knowledge graphs, where each fact is associated with a timestamp.
We present graph attention networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers to address the shortcomings of prior methods based on graph convolutions or their approximations.
Ranked #2 on Node Classification on Wiki-Vote
However, FM models feature interactions in a linear way, which can be insufficient for capturing the non-linear and complex inherent structure of real-world data.
Ranked #2 on Link Prediction on MovieLens 25M
Graph embedding methods produce unsupervised node features from graphs that can then be used for a variety of machine learning tasks.
Ranked #1 on Link Prediction on YouTube (Macro F1 metric)
We consider learning representations of entities and relations in KBs using the neural-embedding approach.
Ranked #15 on Link Prediction on WN18
Low-dimensional embeddings of nodes in large graphs have proved extremely useful in a variety of prediction tasks, from content recommendation to identifying protein functions.
Ranked #2 on Node Classification on Flickr