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graph-based-learning

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jhljx /GKT

Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network

time-series educational-data-mining graph-based-learning knowledge-tracing graph-based-model knowledge-tracing-models edge-inference

UpdatedMar 19, 2021
Python

Sheng-J /DOM-Q-NET

Graph-based Deep Q Network for Web Navigation

reinforcement-learning qlearning rl graph-based-learning graph-neural-networks rainbow-dqn dqn-pytorch

UpdatedJul 8, 2019
Python

CityU-AIM-Group /SOMA

[ICCV' 23 Oral] Novel Scenes & Classes: Towards Adaptive Open-set Object Detection

graph-based-learning open-set-object-detection domain-adaptive-object-detection

UpdatedMay 23, 2025
Python

cassinius /graphinius

Generic graph (analysis) library in Typescript

graph-algorithms graphs partitioning-algorithms graph-theory graph-based-learning centrality-metrics graph-based-recommendation-system

UpdatedMay 13, 2024
TypeScript

cswanghao /gbs

A Study of Graph-based System for Multi-view Clustering

multi-view-clustering graph-based-learning

UpdatedJun 10, 2019
MATLAB

NC0DER /GraphOfDocs

GraphOfDocs: Representing multiple documents as a single graph

natural-language-processing feature-selection graph-database text-representation graph-based-learning

UpdatedJun 22, 2022
Python

aioz-ai /CVPRW21_GPS

Graph-based Person Signature for Person Re-Identifications (CVPRW 21)

reid graph-based-learning person-reid identifications person-signature

UpdatedJul 6, 2021
Python

fulifeng /Partial_Order_Hypergraph

Source code of partial-order hypergraph and baselines in our WWW 2018 paper, Learning on Partial-Order Hypergraphs

university-ranking graph-based-learning micro-video partial-order-hypergraphs

UpdatedApr 1, 2018

wenyiwy99 /SIMVC-SA

[ACM MM 2023] Scalable Incomplete Multi-View Clustering with Structure Alignment (SIMVC-SA)

incomplete-data multi-view-clustering graph-based-learning

UpdatedFeb 23, 2024
MATLAB

NC0DER /CORD19_GraphOfDocs

Modelling and analyzing the Covid19 Open Research using the GraphOfDocs model.

nlp natural-language-processing knowledge-graph graph-database research-project research-data-management link-prediction text-representation graph-based-learning co-authorship covid-19

UpdatedJun 22, 2022
Python

wenyiwy99 /UPMGC-SM

[T-NNLS] Unpaired Multi-View Graph Clustering with Cross-View Structure Matching

multi-view-clustering graph-based-learning representation-alignment

UpdatedFeb 23, 2024
MATLAB

MichiganNLP /textgraphs

Website of TextGraphs: Graph-based Algorithms for Natural Language Processing

nlp natural-language-processing algorithms graph graph-based-learning graph-based-model textgraphs

UpdatedDec 6, 2023
HTML

wenyiwy99 /EMVGC-LG

[ACM MM 2023] Efficient Multi-View Graph Clustering with Local and Global Structure Preservation

multi-view-clustering graph-based-learning

UpdatedFeb 23, 2024
MATLAB

seda-unal /Influencers_in_Social_Networks

Predicting influencers in Social Networks

machine-learning graph-theory influencers influence-propagation graph-based-learning

UpdatedApr 17, 2017
Jupyter Notebook

Tommy-Raven /SSWG-mvm1.0

SSWG aka Synthetic Synthesist of Workflow Generation, is a modular, recursive engine that builds, evaluates, and evolves structured instructional workflows. It combines template-driven generation, semantic evaluation, schema validation, and versioned memory to synthesize reproducible “how-to” processes for any domain —from creative to technical job

workflow-automation knowledge-representation machine-intelligence knowledge-engineering educational-technology meta-learning graph-based-learning instructional-design python-automation workflow-orchestration ai-visualization recursive-systems recursive-ai self-evolving-ai ai-reasoning-systems ai-workflow-system pedagogical-ai data-schema-validation ai-memory-system

UpdatedDec 7, 2025
Python

pvonderlind /KnowledgeGraphs

A map-based tool to explore flat listings from Willhaben based on availability of public transport in Vienna using Knowledge Graphs

visualization knowledge-graph graph-based-learning

UpdatedSep 14, 2023
Python

imis-lab /aiai-2020-datasets

Datasets and evaluation results for "An innovative graph-based approach to advance feature selection from multiple textual documents" paper

natural-language-processing feature-selection graph-database text-representation graph-based-learning

UpdatedApr 6, 2020

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