directed graph

Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning IJCAI 2023 Learning Trust Over Directed Graphs in Multiagent Systems L4DC 2023 SigMaNet: One Laplacian to Rule Them All AAAI 2023 Spacetime Representation Learning ICLR 2023 Transformers Meet Directed Graphs ICML 2023 Directed Graph Auto-Encoders AAAI 2022 GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks ICML 2022 Iterative Structural Inference of Directed Graphs NeurIPS 2022 Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings NeurIPS 2022 Propositional Encodings of Acyclicity and Reachability by Using Vertex Elimination AAAI 2022 Adversarial Directed Graph Embedding AAAI 2021 Capacity and Bias of Learned Geometric Embeddings for Directed Graphs NeurIPS 2021 Confluent Vessel Trees With Accurate Bifurcations CVPR 2021 Directed Graph Contrastive Learning NeurIPS 2021 Directed Graph Embeddings in Pseudo-Riemannian Manifolds ICML 2021 Directed Probabilistic Watershed NeurIPS 2021 Efficient Sampling of Dependency Structure EMNLP 2021 MagNet: A Neural Network for Directed Graphs NeurIPS 2021 multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning NAACL 2021 Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning ACML 2021 Digraph Inception Convolutional Networks NeurIPS 2020 Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach IJCAI 2020 Hermitian matrices for clustering directed graphs: insights and applications AISTATS 2020 Higher-Order Spectral Clustering of Directed Graphs NeurIPS 2020 Low-dimensional statistical manifold embedding of directed graphs ICLR 2020