Knowledge Graph Embedding
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Greatest papers with code
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
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.
SOTA for Node Classification on YouTube
DIMENSIONALITY REDUCTION KNOWLEDGE GRAPH EMBEDDING LINK PREDICTION NETWORK EMBEDDING NODE CLASSIFICATION
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
We study the problem of learning representations of entities and relations in knowledge graphs for predicting missing links.
#4 best model for
Link Prediction
on WN18
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
We study the problem of learning to reason in large scale knowledge graphs (KGs).
KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS
KBGAN: Adversarial Learning for Knowledge Graph Embeddings
This framework is independent of the concrete form of generator and discriminator, and therefore can utilize a wide variety of knowledge graph embedding models as its building blocks.
KNOWLEDGE BASE COMPLETION KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS LINK PREDICTION
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
• hwwang55/MKR
• 
Collaborative filtering often suffers from sparsity and cold start problems in real recommendation scenarios, therefore, researchers and engineers usually use side information to address the issues and improve the performance of recommender systems.
KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPHS MULTI-TASK LEARNING RECOMMENDATION SYSTEMS
Pykg2vec: A Python Library for Knowledge Graph Embedding
• Sujit-O/pykg2vec
•
Python library for knowledge graph embedding and representation learning.
Multi-view Knowledge Graph Embedding for Entity Alignment
• THU-KEG/Entity_Alignment_Papers
•
Furthermore, we design some cross-KG inference methods to enhance the alignment between two KGs.
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
A visual-relational knowledge graph (KG) is a multi-relational graph whose entities are associated with images.
IMAGE RETRIEVAL KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS ZERO-SHOT LEARNING
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
EMNLP 2018
• malllabiisc/HyTE
•
Knowledge Graph (KG) embedding has emerged as an active area of research resulting in the development of several KG embedding methods.
INFORMATION RETRIEVAL KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPHS QUESTION ANSWERING
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