Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network
[ICCV' 23 Oral] Novel Scenes & Classes: Towards Adaptive Open-set Object Detection
Graph-based Deep Q Network for Web Navigation
A pure-Python structured memory benchmark for multi-agent LLM systems — context graph vs vector RAG vs raw history dump, five scenarios, 18 graded queries, zero API calls.
GraphOfDocs: Representing multiple documents as a single graph
Graph-based Person Signature for Person Re-Identifications (CVPRW 21)
Modelling and analyzing the Covid19 Open Research using the GraphOfDocs model.
An implementation of paper "Expectation-Guided Self-Verification for Aligning Large Reasoning Models with Domain Knowledge"
The SSWG/MVM framework is a recursive workflow generator that unites symbolic structure with semantic evaluation. It synthesizes workflows, validates them against schemas, measures clarity and coherence, and iteratively refines results until improvement plateaus. Through memory, metrics, and modular orchestration, it is both software and mindset.
Python/R methodological reproduction of Seurat v4 Weighted Nearest Neighbor analysis for multimodal single-cell RNA and ADT data integration.
A map-based tool to explore flat listings from Willhaben based on availability of public transport in Vienna using Knowledge Graphs
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