Graph Neural Networks

Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs AAAI 2023 RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations ICML 2023 Sample-Level Multi-View Graph Clustering CVPR 2023 Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks AAAI 2023 SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching ICML 2023 SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning ICML 2023 Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information AAAI 2023 Self-Supervised Bidirectional Learning for Graph Matching AAAI 2023 Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces AAAI 2023 Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis AAAI 2023 Semantic Structure Enhanced Event Causality Identification ACL 2023 Sentiment Analysis using the Relationship between Users and Products ACL 2023 Sign and Basis Invariant Networks for Spectral Graph Representation Learning ICLR 2023 Signed Laplacian Graph Neural Networks AAAI 2023 Social Relation Reasoning Based on Triangular Constraints AAAI 2023 Some Might Say All You Need Is Sum IJCAI 2023 Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction AAAI 2023 Spectral Augmentations for Graph Contrastive Learning AISTATS 2023 Structure-Discourse Hierarchical Graph for Conditional Question Answering on Long Documents ACL 2023 SubMix: Learning to Mix Graph Sampling Heuristics UAI 2023 Substructure Aware Graph Neural Networks AAAI 2023 SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail CVPR 2023 Target-Oriented Relation Alignment for Cross-Lingual Stance Detection ACL 2023 TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery NeurIPS 2023 TIDE: Time Derivative Diffusion for Deep Learning on Graphs ICML 2023