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multi-modal (2) alternating linearization (1) network evolution (1) correlation clustering (1) algorithm (1) approximation algorithm (1) automorphism group (1) linear program (1) equivariant neural network (1) topological feature (1)

Papers

Algorithms and Hardness for Active Learning on Graphs ICML 2025 Graph Inverse Style Transfer for Counterfactual Explainability ICML 2025 Graph World Model ICML 2025 MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks ICLR 2025 Towards Better-than-2 Approximation for Constrained Correlation Clustering ICML 2025 Body Transformer: Leveraging Robot Embodiment for Policy Learning CoRL 2024 Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better ICML 2024 Entropy Coding of Unordered Data Structures ICLR 2024 GPTSwarm: Language Agents as Optimizable Graphs ICML 2024 Graph Automorphism Group Equivariant Neural Networks ICML 2024 Graph Out-of-Distribution Detection Goes Neighborhood Shaping ICML 2024 Link Discovery using Graph Feature Tracking NeurIPS 2010