Post #866

GraphML News (Oct 5th) - ICLR 2025 Graph and Geometric DL Submissions 📚 Brace yourselves, for your browser is about to endure 50+ new tabs. All accepted NeurIPS 2024 papers are now visible (titles and abstracts), and a new batch of goodies from ICLR’25 has just arrived. Tried to select the papers that haven't yet appeared during the ICML/NeurIPS cycles. PDFs will be available on the respective OpenReview pages shortly: Towards Graph Foundation Models: GraphProp: Training the Graph Foundation Models using Graph Properties GFSE: A Foundational Model For Graph Structural Encoding Towards Neural Scaling Laws for Foundation Models on Temporal Graphs Graph Generative Models: Quality Measures for Dynamic Graph Generative Models Improving Graph Generation with Flow Matching and Optimal Transport Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models Topology-aware Graph Diffusion Model with Persistent Homology Hierarchical Equivariant Graph Generation Smooth Probabilistic Interpolation Benefits Generative Modeling for Discrete Graphs GNN Theory: Towards a Complete Logical Framework for GNN Expressiveness Rethinking the Expressiveness of GNNs: A Computational Model Perspective Learning Efficient Positional Encodings with Graph Neural Networks Equivariant GNNs: Improving Equivariant Networks with Probabilistic Symmetry Breaking Does equivariance matter at scale? Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing Spacetime E(n) Transformer: Equivariant Attention for Spatio-temporal Graphs Rethinking Efficient 3D Equivariant Graph Neural Networks Generative modeling with molecules (hundreds of them actually): AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly RoFt-Mol: Benchmarking Robust Fine-tuning with Molecular Graph Foundation Models Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra Reaction Graph: Toward Modeling Chemical Reactions with 3D Molecular Structures Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport