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).
Simulation toolbox for Crimegraph.
Final assignment of EE226 course in SJTU by Group 12
Link prediction in a citation network
Repository for scientific project at Petnica Science Center (2019)
This repository provides code to replicate the experiments conducted in the research paper [Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings].
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