311 Open source projects that are alternatives of or similar to NMN

Combining relational context and relational paths for knowledge graph completion

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020

An Industry Evaluation of Embedding-based Entity Alignment @ COLING'20

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

Combining relational context and relational paths for knowledge graph completion

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

💠 Ontology matching system based on formal concept analysis

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

A reading list for deep graph learning acceleration.

Implement of DiGCN, NeurIPS-2020

Knowledge Graph Miner

Language Servers for Stardog Languages

Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022

KE-Dialogue: Injecting knowledge graph into a fully end-to-end dialogue system.

Graph Data Visualization Demo| 图数据搜索可视化应用案例

A new codebase for Group Activity Recognition. It contains codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition and some other methods.

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

Metagraph是一款知识创作分享工具，不同于以往的知识创作平台，Metagraph提供了强大的内容关联能力。

A low code learning project run with github actions

Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

code for Gogleva et al manuscript

Supervised community detection with line graph neural networks

Guiding Entity Alignment via Adversarial Knowledge Embedding

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

Neural Entity Typing with Knowledge Attention

Intelligence Task Ontology (ITO)

PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models

An Open Source Knowledge Graph written in Rust

[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

A web only WYSIWYG note taking app that saves notes locally in markdown format.

Streaming, transforming, SPARQL-based CSV to RDF converter. Apache license.

Get Data Reused

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)

A spherical convolutional neural network for cosmology (TFv1).

The Knowledge Graph notebook. Apache license.

Papers about explainability of GNNs

A curated list of ontology things

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Code and data for our paper "Iterative Entity Alignment via Joint Knowledge Embeddings"

Neural Entity Typing with Language Model Enhancement

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

Community effort to build a Neo4j Knowledge Graph (KG) that links heterogeneous data about COVID-19

An Efficient RML-Compliant Engine for Knowledge Graph Construction

Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper

Source code and datasets of EMNLP2018 paper: "Differentiating Concepts and Instances for Knowledge Graph Embedding".

DeepEE: Deep Event Extraction Algorithm Gallery (基于深度学习的开源中文事件抽取算法汇总)

Data transformation framework for LinkML data models

中国明星数据爬取。你甚至可以拿到互联网上所有的人之间的关系，接下来你可以自己发挥！基于这些数据，你可以完成更多有趣的事情。比如说社交网络分析，关系网络可视化，算法研究，和其他有意思的事情。Chinese star data crawling. You can even get all the people on the internet! Based on these data, you can do more interesting things. For example, social network analysis, relational network visualization, algorithm research, and other interesting things.

Code for NAACL 2021 paper: MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences