#计算机科学#Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
#计算机科学#TypeDB-ML is the Machine Learning integrations library for TypeDB
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
#计算机科学#PyNeuraLogic lets you use Python to create Differentiable Logic Programs
SimplE Embedding for Link Prediction in Knowledge Graphs
#计算机科学#Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
#计算机科学#Deep relational learning through differentiable logic programming.
#计算机科学#Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
A largely incomplete but hopefully useful list of links to datasets for relational learning and inductive logic programming. No guarantees on availability.
#计算机科学#[ICLR 2022] Graph-Relational Domain Adaptation
☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.
#计算机科学#RelNN is a novel first-order deep neural model for relational learning.
#计算机科学#Machine learning on knowledge graphs for context-aware security monitoring (data and model)
#计算机科学#Showcase notebooks for getML
#计算机科学#Graph Learning for Planning [AAAI-24, ICAPS-24, NeurIPS-24]
PyTorch implementation of the paper "NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning" (AAAI'24)
Official implementation of "Relational Proxies: Emergent Relationships as Fine-Grained Discriminators", NeurIPS 2022.
Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".
[Accepted by TNNLS] Source Code for Relational Redundancy-Free Graph Clustering