Concept: Graph
Algorithm enumerates maximal balanced quasi-cliques in signed graphs
Detecting balanced group structures in networks with positive and negative connections
Graph correlations test independence between binary networks
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
Graph neural networks identified flood-vulnerable river segments
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
Survey maps graph roles in retrieval-augmented generation
Graph structures in knowledge retrieval systems for improving AI accuracy
Learnable communication graphs improve multi-agent coordination
Learning dynamic communication patterns between artificial agents
Parallel conflict graph management reduced MIP solve time
Faster integer programming through parallel cutting plane generation
Network DLN shows cost-adjusted utility gains at large scale
How structural compression in belief representation shapes decision-making across complexity levels
CORE: Data Augmentation for Link Prediction via Information Bottleneck
Recovering missing edges and removing noise to improve graph prediction accuracy
