Concept: Graph
Maximal Balanced Quasi-Clique Enumeration in Signed Graphs
Detecting balanced group structures in networks with positive and negative connections
Community correlations and testing independence between binary graphs
Measuring independence and correlation between network graphs
Thoth: Uncovering Data-Dependent Memory Access Patterns via Annotation-Directed Load Sampling
Hardware prefetcher for irregular memory access in sparse data structures
LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges
Scaling graph neural networks to billions of edges on single GPUs
Attributed graph neural network-based flood vulnerability assessment of river basin systems
Using neural networks to map flood risk in complex river systems with limited data
DTMiner: A Data-Centric System for Efficient Temporal Motif Mining
Accelerating pattern discovery in temporal networks through optimized data access coordination
Graph-Based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey
Graph structures in knowledge retrieval systems for improving AI accuracy
Communication Learning in Multi-Agent Systems From Graph Modeling Perspective
Learning dynamic communication patterns between artificial agents
Parallelized Conflict Graph Cut Generation
Faster integer programming through parallel cutting plane generation
Compression Efficiency and Structural Learning as a Computational Model of DLN Cognitive Stages
How structural compression in belief representation shapes decision-making across complexity levels
