308 Open source projects that are alternatives of or similar to PathCon

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

Combining relational context and relational paths for knowledge graph completion

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

Source code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.

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

Supervised community detection with line graph neural networks

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

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Data transformation framework for LinkML data models

A reading list for deep graph learning acceleration.

Geometric Deep Learning for Flux

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

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

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

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

This is a Pytorch implementation of GraphLIME

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

A project that uses Binary Ninja and GRAKN.AI to perform static analysis on binary files with the goal of identifying bugs in software.

A curated list of ontology things

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

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

TypeDB: a strongly-typed database

RO is an ontology of relations for use with biological ontologies

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

Language Servers for Stardog Languages

In-memory Graph Database and Knowledge Graph with Natural Language Interface, compatible with Pandas

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

Intelligence Task Ontology (ITO)

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

code for Gogleva et al manuscript

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

💠 Ontology matching system based on formal concept analysis

An Efficient RML-Compliant Engine for Knowledge Graph Construction

Knowledge Graph Miner

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.

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

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

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

Representing Long-Range Context for Graph Neural Networks with Global Attention

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

Probabilistic Type Inference using Graph Neural Networks

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021.

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

Knowledge-aware recommendation papers.

knowledge graph recommendation

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

A spherical convolutional neural network for cosmology (TFv1).

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。

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

Graph-based machine learning for chemical property prediction

A paper list of research about social knowledge graph

Papers about explainability of GNNs

COLING'2020: CoLAKE: Contextualized Language and Knowledge Embedding

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

Representation Learning on Graphs with Jumping Knowledge Networks

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

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

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

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