AAAI 2024 accepted papers on Graph learning
201 of the 2,864 papers accepted at AAAI 2024 (7.0%) are on Graph learning, compared with 8.6% at AAAI 2023. They fall into 4 topics.
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Topics and papers
Graph self-supervised learning · 62 papers
- Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum (57 citations)
- GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking (55 citations)
- ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (52 citations)
- DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection (50 citations)
- Adaptive Graph Learning for Multimodal Conversational Emotion Detection (49 citations)
- Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection (46 citations)
- Gramformer: Learning Crowd Counting via Graph-Modulated Transformer (45 citations)
- Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection (42 citations)
- Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering (36 citations)
- Barely Supervised Learning for Graph-Based Fraud Detection (34 citations)
- Robust Node Classification on Graph Data with Graph and Label Noise (32 citations)
- GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion (30 citations)
and 50 more in the interactive map.
Knowledge and temporal graphs · 61 papers
- LGMRec: Local and Global Graph Learning for Multimodal Recommendation (146 citations)
- Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting (129 citations)
- Temporal Graph Contrastive Learning for Sequential Recommendation (62 citations)
- Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition (58 citations)
- MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction (52 citations)
- Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer (50 citations)
- An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction (42 citations)
- MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction (41 citations)
- MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs (34 citations)
- LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation (30 citations)
- Panoptic Scene Graph Generation with Semantics-Prototype Learning (29 citations)
- KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding (26 citations)
and 49 more in the interactive map.
GNN architectures · 53 papers
- TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis (49 citations)
- PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering (45 citations)
- HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning (36 citations)
- Dynamic Spiking Graph Neural Networks (28 citations)
- GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction (28 citations)
- Physics-Informed Graph Neural Networks for Water Distribution Systems (28 citations)
- Provably Powerful Graph Neural Networks for Directed Multigraphs (28 citations)
- FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization (25 citations)
- NodeMixup: Tackling Under-Reaching for Graph Neural Networks (25 citations)
- Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes (23 citations)
- A Simple and Yet Fairly Effective Defense for Graph Neural Networks (22 citations)
- Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks (21 citations)
and 41 more in the interactive map.
Graph algorithms and clustering · 25 papers
- Attribute-Missing Graph Clustering Network (58 citations)
- DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization (32 citations)
- A Non-parametric Graph Clustering Framework for Multi-View Data (31 citations)
- Tensorized Label Learning on Anchor Graph (18 citations)
- Embedded Feature Selection on Graph-Based Multi-View Clustering (17 citations)
- Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering (16 citations)
- Large-Scale Multi-Robot Coverage Path Planning via Local Search (14 citations)
- Graph Bayesian Optimization for Multiplex Influence Maximization (12 citations)
- Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning (11 citations)
- LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement (10 citations)
- Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis (9 citations)
- Optimal Quasi-clique: Hardness, Equivalence with Densest-k-Subgraph, and Quasi-partitioned Community Mining (5 citations)
and 13 more in the interactive map.