graph partitioning
1개 벤치마크 · 논문 230편 · 이 태스크의 논문 보기 →
Benchmarks
custom
Most implemented
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
Deep Spectral Improvement for Unsupervised Image Instance Segmentation
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls
Graph Neural Network Based Coarse-Grained Mapping Prediction
Papers
Diversity-aware View Partitioning for Scalable VGGT
Geometry transformers such as VGGT achieve strong performance by jointly reasoning over multiple views with global attention. However, scaling them to large view collections remains challenging due to the quadratic cost …
Camera Pose Estimationgraph partitioning3D ReconstructionWhen Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent Coding
Multi-agent Large Language Model (LLM) systems offer a way to decompose complex tasks, such as coding, through parallelization and context isolation. However, adding agents in practice introduces inter-agent communicatio…
Community Detectiongraph partitioningNeural Acceleration for Graph Partitioning
Graph Partitioning is a critical problem in numerous scientific and engineering domains including social network analysis, VLSI design, and many more. Spectral methods are known to produce quality partitions while minimi…
graph partitioningNeural QAOA$^{2}$: Differentiable Joint Graph Partitioning and Parameter Initialization for Quantum Combinatorial Optimization
The quantum approximate optimization algorithm (QAOA) holds promise for combinatorial optimization but is constrained by limited qubits. While divide-and-conquer frameworks like QAOA$^{2}$ address scalability by partitio…
Zero-shot Generalizationgraph partitioningStructural Interpretations of Protein Language Model Representations via Differentiable Graph Partitioning
Protein language models such as ESM-2 learn rich residue representations that achieve strong performance on protein function prediction, but their features remain difficult to interpret as structural $\&$ evolutionary si…
Protein Function PredictionProtein Language Modelgraph partitioningEmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training
Graph Neural Networks (GNNs) are widely used for learning on graph-structured data, but scaling GNN training to massive graphs remains challenging. To enable scalable distributed training, graphs are divided into smaller…
Graph Neural Networkgraph partitioning