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Greatest papers with code

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

2 Mar 2019DeepGraphLearning/graphvite

In this paper, we propose GraphVite, a high-performance CPU-GPU hybrid system for training node embeddings, by co-optimizing the algorithm and the system.

DIMENSIONALITY REDUCTION KNOWLEDGE GRAPH EMBEDDING LINK PREDICTION NETWORK EMBEDDING NODE CLASSIFICATION

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

2 Feb 2020shaoxiongji/awesome-knowledge-graph

In this survey, we provide a comprehensive review of knowledge graph covering overall research topics about 1) knowledge graph representation learning, 2) knowledge acquisition and completion, 3) temporal knowledge graph, and 4) knowledge-aware applications, and summarize recent breakthroughs and perspective directions to facilitate future research.

KNOWLEDGE GRAPH COMPLETION KNOWLEDGE GRAPH EMBEDDING RELATIONAL REASONING

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

ICLR 2019 awslabs/dgl-ke

We study the problem of learning representations of entities and relations in knowledge graphs for predicting missing links.

KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPHS LINK PREDICTION

CoKE: Contextualized Knowledge Graph Embedding

6 Nov 2019PaddlePaddle/Research

This work presents Contextualized Knowledge Graph Embedding (CoKE), a novel paradigm that takes into account such contextual nature, and learns dynamic, flexible, and fully contextualized entity and relation embeddings.

KNOWLEDGE GRAPH EMBEDDING LINK PREDICTION

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings

28 Jul 2020pykeen/pykeen

Recently, knowledge graph embeddings (KGEs) received significant attention, and several software libraries have been developed for training and evaluating KGEs.

 Ranked #1 on Link Prediction on WN18 (training time (s) metric)

KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS LINK PREDICTION

Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

23 Jun 2020SmartDataAnalytics/PyKEEN

The heterogeneity in recently published knowledge graph embedding models' implementations, training, and evaluation has made fair and thorough comparisons difficult.

KNOWLEDGE GRAPH EMBEDDING

You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings

ICLR 2020 uma-pi1/kge

A vast number of KGE techniques for multi-relational link prediction have been proposed in the recent literature, often with state-of-the-art performance.

HYPERPARAMETER OPTIMIZATION KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS LINK PREDICTION

Composition-based Multi-Relational Graph Convolutional Networks

ICLR 2020 malllabiisc/CompGCN

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