conftrace_

bipartite graph

76 papers

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BG

Co-occurring keywords · papers mentioning both

graph neural network (11) combinatorial optimization (6) graph convolutional network (5) graph algorithm (4) unsupervised learning (4) approximation algorithm (3) online matching (3) large language model (3) neural network (3) matrix completion (3)

Papers

Causal Reasoning with Bipartite Graphical Causal Models UAI 2026 Closer to Biological Mechanism: Drug-Drug Interaction Prediction from the Perspective of Pharmacophore AAAI 2026 Fair and Efficient Balanced Allocation for Indivisible Goods AAAI 2026 Large-scale Robust Enhanced Ensemble Clustering via Outlier Decoupling CVPR 2026 Multi-graph Fusion Cross-model Contrastive Learning for Recommendation AAAI 2026 Parallel Rigidity Matters for Bundle Adjustment CVPR 2026 Decision Information Meets Large Language Models: The Future of Explainable Operations Research ICLR 2025 LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation ICLR 2025 Logarithmic Approximations for Fair k-Set Selection IJCAI 2025 Proportionally Fair Matching via Randomized Rounding AAAI 2025 The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph ICML 2025 Bipartite Graph Diffusion Model for Human Interaction Generation WACV 2024 Deep Reinforcement Learning-based Dialogue Policy with Graph Convolutional Q-network COLING 2024 Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option IJCAI 2024 Disentangled Partial Label Learning AAAI 2024 Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference IJCAI 2024 Fine-Grained Bipartite Concept Factorization for Clustering CVPR 2024 GraFITi: Graphs for Forecasting Irregularly Sampled Time Series AAAI 2024 Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions NeurIPS 2024 Sterling: Synergistic Representation Learning on Bipartite Graphs AAAI 2024 Theoretical Aspects of Generating Instances with Unique Solutions: Pre-assignment Models for Unique Vertex Cover AAAI 2024 Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph ICML 2024 Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders EMNLP 2023 CNN2Graph: Building Graphs for Image Classification WACV 2023 On a Class of Gibbs Sampling over Networks COLT 2023