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
This repository provides code for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).
repo for learning graph neural network
Link Prediction on hyperlinks graph of Reddit.
Shall I work with them? A ‘knowledge graph’-based approach for predicting future research collaborations
Python implementation of the Personalized Degrees paper
A link prediction algorithm tailored to flow-driven spatial networks. Paper accepted @ WACV24
An official implementation of "Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization"
Final assignment of EE226 course in SJTU by Group 12
A simple program that can perform social network analysis tasks on graph data.
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
Link prediction in a citation network
Repository for scientific project at Petnica Science Center (2019)
[TKDE'23] Demo code of the paper entitled "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation", which has been accepted by IEEE TKDE
Course project of SJTU CS3319: Foundations of Data Science, 2023 spring
Insert backlinks to markdown documents by using sklearn and cosine similarity.
pmf provides a python library for performing inference using heirarchical Poisson Matrix Factorization.
Altegrad 2021-2022 - Citation Prediction Challenge - A complete guide and code to crack the citation prediction altegrad challenge - https://www.kaggle.com/c/altegrad-2021/ - MVA Masters program 2021-2022
A link prediction project which can predict user relationship.
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