Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network
Graph-based Deep Q Network for Web Navigation
[ICCV' 23 Oral] Novel Scenes & Classes: Towards Adaptive Open-set Object Detection
Generic graph (analysis) library in Typescript
A Study of Graph-based System for Multi-view Clustering
GraphOfDocs: Representing multiple documents as a single graph
Graph-based Person Signature for Person Re-Identifications (CVPRW 21)
[ACM MM 2023] Scalable Incomplete Multi-View Clustering with Structure Alignment (SIMVC-SA)
Source code of partial-order hypergraph and baselines in our WWW 2018 paper, Learning on Partial-Order Hypergraphs
Modelling and analyzing the Covid19 Open Research using the GraphOfDocs model.
[T-NNLS] Unpaired Multi-View Graph Clustering with Cross-View Structure Matching
Website of TextGraphs: Graph-based Algorithms for Natural Language Processing
[ACM MM 2023] Efficient Multi-View Graph Clustering with Local and Global Structure Preservation
Predicting influencers in Social Networks
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.
Topological Graph Memory for Reinforcement Learning — 100% retention, zero hidden layers. Replaces neural weights with navigable graph topology to eliminate catastrophic forgetting.
A map-based tool to explore flat listings from Willhaben based on availability of public transport in Vienna using Knowledge Graphs
Datasets and evaluation results for "An innovative graph-based approach to advance feature selection from multiple textual documents" paper
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