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Link Prediction

162 papers with code ยท Graphs

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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Latest papers without code

Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling

24 Feb 2020

In this work, we leverage its interpretable modelling architecture and propose a deep dynamic probabilistic framework -- the Recurrent Dirichlet Belief Network~(Recurrent-DBN) -- to study interpretable hidden structures from dynamic relational data.

LINK PREDICTION

Inductive Representation Learning on Temporal Graphs

19 Feb 2020

Moreover, node and topological features can be temporal as well, whose patterns the node embeddings should also capture.

GRAPH EMBEDDING LINK PREDICTION NODE CLASSIFICATION

Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank

17 Feb 2020

In this work, we take a closer look at the evaluation of two families of methods for enriching information from knowledge graphs: Link Prediction and Entity Alignment.

ENTITY ALIGNMENT KNOWLEDGE GRAPHS LINK PREDICTION

Investigating Extensions to Random Walk Based Graph Embedding

17 Feb 2020

Graph embedding has recently gained momentum in the research community, in particular after the introduction of random walk and neural network based approaches.

GRAPH EMBEDDING LINK PREDICTION NODE CLASSIFICATION

Scalable Dyadic Independence Models with Local and Global Constraints

14 Feb 2020

An important challenge in the field of exponential random graphs (ERGs) is the fitting of non-trivial ERGs on large networks.

LINK PREDICTION

Vertex-reinforced Random Walk for Network Embedding

11 Feb 2020

In this paper, we study the fundamental problem of random walk for network embedding.

LINK PREDICTION NETWORK EMBEDDING NODE CLASSIFICATION

Graph Convolutional Gaussian Processes For Link Prediction

11 Feb 2020

Link prediction aims to reveal missing edges in a graph.

GAUSSIAN PROCESSES LINK PREDICTION

Pre-training Tasks for Embedding-based Large-scale Retrieval

10 Feb 2020

We consider the large-scale query-document retrieval problem: given a query (e. g., a question), return the set of relevant documents (e. g., paragraphs containing the answer) from a large document corpus.

INFORMATION RETRIEVAL LINK PREDICTION

Message Passing for Query Answering over Knowledge Graphs

6 Feb 2020

In contrast with previous work, we show that our method can generalize from training for the single-hop, link prediction task, to answering queries with more complex structures.

KNOWLEDGE GRAPHS LINK PREDICTION

ALPINE: Active Link Prediction using Network Embedding

4 Feb 2020

Often, the link status of a node pair can be queried, which can be used as additional information by the link prediction algorithm.

ACTIVE LEARNING LINK PREDICTION NETWORK EMBEDDING