Code and data accompanying the paper: "Model-Agnostic Bias Measurement in Link Prediction" published in the EACL Findings 2023
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Updated
Feb 24, 2023 - Python
Code and data accompanying the paper: "Model-Agnostic Bias Measurement in Link Prediction" published in the EACL Findings 2023
Link Prediction in an Heterogeneous Information Network
repo for learning graph neural network
'Scientific Discovery as Link Prediction in Influence and Citation Graphs' introduces a novel framework for scientific discovery by treating the problem as a link prediction task in influence and citation graphs.
Supplementary materials for PSB submission
🔗 Trace Link Prediction from code to documentation
Given a directed social graph, have to predict missing links to recommend users (Link Prediction in graph)
Shall I work with them? A ‘knowledge graph’-based approach for predicting future research collaborations
Link Prediction in Citation Networks
A heavy, slow and simple code to simulate a pandemic on NetLogo. Lots of improvement to be added soon!
This repository provides data splits for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).
This repository provides code to replicate the experiments conducted in the research paper [Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings].
This repository contains the group projects undertaken during the course "Data Mining Techniques" taught by Prof. Y.Kotidis in the context of Msc. in Data Science at Athens University of Economics and Business.
A graph-based model that suggests new people as your friends on Facebook!
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.
Simulation toolbox for Crimegraph.
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。
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