Graph Neural Networks para la predicción de asociaciones gen-enfermedad
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Updated
Jul 2, 2024 - Python
Graph Neural Networks para la predicción de asociaciones gen-enfermedad
🤖 A Python library for learning and evaluating knowledge graph embeddings
Pytorch implementation of a dynamic gnn based on Roland framework
Work we did for a practical course in graph learning, organized by department Informatik 7 at RWTH University
[ACL 2023] Official resources of "HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level".
Insert backlinks to markdown documents by using sklearn and cosine similarity.
Drug-Drug Interaction Prediction on a Biomedical Literature Knowledge Graph
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
[KDD 2024] "Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction"
This is a movie recommendation system based on bipartite graphs that uses the IMDB and TMDB dataset to recommend movies to users based on movie similarity and user preferences using graph representation learning.
基于 OpenKE-PyTorch 开发的知识图谱嵌入工具包,支持跨平台运行,具备自动超参数搜索、高效并行训练以及实验结果记录功能,为研究与应用提供强大助力。
基于 OpenKE-PyTorch 开发的知识图谱嵌入工具包,支持跨平台运行,具备自动超参数搜索、高效并行训练以及实验结果记录功能,为研究与应用提供强大助力。
repo for learning graph neural network
CAAI BDSC2023 CUP 任务1《社交图谱小样本场景链接预测》,初赛、复赛第一名的代码
I constructed a knowledge graph of stakeholders of Bavarian state ministries and used network analysis to calculate statistics. Furthermore time-series feature forecasting and topological link prediction was employed to analyze the evolution of the network.
MIDI2vec computes embeddings for representing MIDI data in vector space
This repository provides code for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).
This repository provides data splits for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).
Geodesic and Neural Features for Link Prediction in the COVID-19 Biomedical Knowledge Graph
This tool is a part of the paper "Inductive and Transductive Link Prediction for Criminal Network Analysis," published in the Journal of Computational Science in 2023. It implements an analyzer and visualizer specialized for criminal (social) network analysis, including community detection, social influence analysis, and link prediction.
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