Co-occurring keywords · papers mentioning both
Papers
Revisiting Causal Discovery from a Complexity-Theoretic Perspective
IJCAI 2024
Revisiting Score Propagation in Graph Out-of-Distribution Detection
NeurIPS 2024
Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection
IJCAI 2024
Semantically-correlated memories in a dense associative model
ICML 2024
SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision
NeurIPS 2024
Structural Inference with Dynamics Encoding and Partial Correlation Coefficients
ICLR 2024
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text
EMNLP 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs
IJCAI 2024
The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning
EMNLP 2024
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology
JMLR 2024
Towards Continual Knowledge Graph Embedding via Incremental Distillation
AAAI 2024
Verifying message-passing neural networks via topology-based bounds tightening
ICML 2024
Attribute and Structure Preserving Graph Contrastive Learning
AAAI 2023
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
ICML 2023
Complex Event Schema Induction with Knowledge-Enriched Diffusion Model
EMNLP 2023
Content- and Topology-Aware Representation Learning for Scientific Multi-Literature
EMNLP 2023
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
NeurIPS 2023
Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting
ACL 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
NeurIPS 2023
Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective
AAAI 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
NeurIPS 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure
ICML 2023
Incorporating Graph Information in Transformer-based AMR Parsing
ACL 2023
Inference for a Large Directed Acyclic Graph with Unspecified Interventions
JMLR 2023
Learning Robust Graph Neural Networks with Limited Supervision
AISTATS 2023