Post #616

Fresh picks from ArXiv This week on ArXiv: class-dependent generative models, label-feature propagations, and space-time GNNs 🚀 If I forgot to mention your paper, please shoot me a message and I will update the post. Biology * Pre-training Molecular Graph Representation with 3D Geometry * Molecular Graph Generation via Geometric Scattering * Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design with Regina Barzilay and Tommi Jaakkola * CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation GNNs * Graph Neural Networks with Learnable Structural and Positional Representations with Yoshua Bengio and Xavier Bresson * ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network with Philip S. Yu * Training Stable Graph Neural Networks Through Constrained Learning with Alejandro Ribeiro * Space-Time Graph Neural Networks with Alejandro Ribeiro * Equivariant Subgraph Aggregation Networks with Michael M. Bronstein and Haggai Maron KG * A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead LP * Label-Wise Message Passing Graph Neural Network on Heterophilic Graphs * Why Propagate Alone? Parallel Use of Labels and Features on Graphs * Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels