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Greatest papers with code

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

11 Apr 2019dmlc/dgl

The task becomes more challenging on temporal knowledge graphs, where each fact is associated with a timestamp.

KNOWLEDGE GRAPHS LINK PREDICTION

OpenKE: An Open Toolkit for Knowledge Embedding

EMNLP 2018 thunlp/OpenKE

We release an open toolkit for knowledge embedding (OpenKE), which provides a unified framework and various fundamental models to embed knowledge graphs into a continuous low-dimensional space.

INFORMATION RETRIEVAL KNOWLEDGE GRAPHS QUESTION ANSWERING REPRESENTATION LEARNING

Knowledge Graph Completion via Complex Tensor Factorization

22 Feb 2017Accenture/AmpliGraph

In statistical relational learning, knowledge graph completion deals with automatically understanding the structure of large knowledge graphs---labeled directed graphs---and predicting missing relationships---labeled edges.

KNOWLEDGE GRAPH COMPLETION LINK PREDICTION RELATIONAL REASONING

Holographic Embeddings of Knowledge Graphs

16 Oct 2015Accenture/AmpliGraph

Learning embeddings of entities and relations is an efficient and versatile method to perform machine learning on relational data such as knowledge graphs.

KNOWLEDGE GRAPHS LINK PREDICTION RELATIONAL REASONING

ERNIE: Enhanced Language Representation with Informative Entities

ACL 2019 thunlp/ERNIE

Neural language representation models such as BERT pre-trained on large-scale corpora can well capture rich semantic patterns from plain text, and be fine-tuned to consistently improve the performance of various NLP tasks.

ENTITY LINKING ENTITY TYPING KNOWLEDGE GRAPHS LINGUISTIC ACCEPTABILITY NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION SENTIMENT ANALYSIS

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

17 Mar 2021snap-stanford/ogb

We show that the expressive models significantly outperform simple scalable baselines, indicating an opportunity for dedicated efforts to further improve graph ML at scale.

GRAPH LEARNING GRAPH REGRESSION KNOWLEDGE GRAPHS LINK PREDICTION NODE CLASSIFICATION

Open Graph Benchmark: Datasets for Machine Learning on Graphs

NeurIPS 2020 snap-stanford/ogb

We present the Open Graph Benchmark (OGB), a diverse set of challenging and realistic benchmark datasets to facilitate scalable, robust, and reproducible graph machine learning (ML) research.

KNOWLEDGE GRAPHS

Knowledge Graphs

4 Mar 2020shaoxiongji/awesome-knowledge-graph

In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data.

KNOWLEDGE GRAPHS