README.md

Publications in AAAI 2022

Oversmoothing

• Orthogonal Graph Neural Networks
• Adaptive Kernel Graph Neural Network
• Deep Graph Clustering via Dual Correlation Reduction
• Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples

Heterophily

• Graph Pointer Neural Networks
• Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily
• Deformable Graph Convolutional Networks
• Block Modeling-Guided Graph Convolutional Neural Networks

Explainability

• ProtGNN: Towards Self-Explaining Graph Neural Networks
• KerGNNs: Interpretable Graph Neural Networks with Graph Kernels

Expressivity

• Generalized Equivariance and Preferential Labeling for GNN Node Classification
• Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching
• Graph Filtration Kernels

Scalability

• Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
• SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data

Graph Classification

• Cross-Domain Few-Shot Graph Classification
• Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification

Few-shot Learning

• Hybrid Graph Neural Networks for Few-Shot Learning
• Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

Self-Supervised Learning

• A Self-supervised Mixed-curvature Graph Neural Network
• Augmentation-Free Self-Supervised Learning on Graphs
• Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing
• CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing

Contrastive Learning

• SAIL: Self-Augmented Graph Contrastive Learning
• AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
• GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction
• Molecular Contrastive Learning with Chemical Element Knowledge Graph

Graph Augmentation

• Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations
• Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation

Unsupervised Learning

• Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning
• Simple Unsupervised Graph Representation Learning
• Stationary Diffusion State Neural Estimation for Multiview Clustering

Adversarial Attacks/Robustness

• Unsupervised Adversarially Robust Representation Learning on Graphs
• Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
• Graph Structure Learning with Variational Information Bottleneck
• Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs
• Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision
• Robust Heterogeneous Graph Neural Networks against Adversarial Attacks

Heterogeneous / Multi-Relational Graphs

• How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View
• JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
• Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers
• LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents
• Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network
• Exploring Relational Semantics for Inductive Knowledge Graph Completion

Natural Language Processing

• Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
• Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph
• DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media
• A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection
• Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization

External Knowledge

• GraphMemDialog: Optimizing End-to-End Task-Oriented Dialog Systems Using Graph Memory Networks
• Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering

Scene Graphs

• SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning
• Improving Scene Graph Classification by Exploiting Knowledge from Texts
• LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning

Videos

• (2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering
• Video as Conditional Graph Hierarchy for Multi-Granular Question Answering
• Learning Optical Flow with Adaptive Graph Reasoning
• ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization

Computer Vision

• MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning
• Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections
• Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network
• Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction
• Topology-aware Convolutional Neural Network for Efficient Skeleton-based Action Recognition

Person Re-identification

• Keypoint Message Passing for Video-based Person Re-Identification
• Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation

Point Clouds

• SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds
• Graph-Based Point Tracker for 3D Object Tracking in Point Clouds

Temporal Graphs

• Graph Neural Controlled Differential Equations for Traffic Forecasting
• HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
• Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
• MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction

Generative Models

• TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
• Disentangled Spatiotemporal Graph Generative Models

Recommendation

• Low-Pass Graph Convolutional Network for Recommendation
• Multi-View Intent Disentangle Graph Networks for Bundle Recommendation

Fairness

• EqGNN: Equalized Node Opportunity in Graphs
• VACA: Designing Variational Graph Autoencoders for Causal Queries

Combinatorial Problems

• MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
• Beyond GNNs: An Efficient Architecture for Graph Problems

Tree Search

• Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks
• Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search

Genomes

• ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations
• RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning

Citation Networks

• DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation
• Directed Graph Auto-Encoders

Miscellaneous

• LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
• Fast Graph Neural Tangent Kernel via Kronecker Sketching
• Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning
• Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae
• GNN-Retro: Retrosynthetic Planning with Graph Neural Networks
• Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks
• Multi-Scale Distillation from Multiple Graph Neural Networks
• Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection
• Interpretable Neural Subgraph Matching for Graph Retrieval