KDD 2022 Research Poster Assignments
| Poster Position ID | Paper ID | Paper Title |
| 1 | 3 | ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data |
| 2 | 51 | Predicting Opinion Dynamics via Sociologically-Informed Neural Networks |
| 3 | 97 | CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation |
| 4 | 107 | Intrinsic-Motivated Sensor Management: Exploring with Physical Surprise |
| 5 | 148 | Learning Fair Representation via Distributional Contrastive Disentanglement |
| 6 | 150 | Evaluating Knowledge Graph Accuracy Powered by Optimized Human-machine Collaboration |
| 7 | 152 | Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting |
| 8 | 155 | Domain Adaptation with Dynamic Open-Set Targets |
| 9 | 156 | Modeling Network-level Traffic Flow Transitions on Sparse Data |
| 10 | 165 | Collaboration Equilibrium in Federated Learning |
| 11 | 196 | Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems |
| 12 | 209 | MetroGAN: Simulating Urban Morphology with Generative Adversarial Network |
| 13 | 214 | Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis |
| 14 | 219 | What Makes Your Data Unavailable To Deep Learning? |
| 15 | 227 | Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation |
| 16 | 266 | Learning Differential Operators for Interpretable Time Series Modeling |
| 17 | 296 | HyperLogLogLog: Cardinality Estimation With One Log More |
| 18 | 298 | Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition |
| 19 | 311 | GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks |
| 20 | 321 | Selective Cross-city Transfer Learning for Traffic Prediction via Source City Region Re-weighting |
| 21 | 322 | S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? |
| 22 | 333 | Detecting Cash-out Users via Dense Subgraphs |
| 23 | 358 | Towards Representation Alignment and Uniformity in Collaborative Filtering |
| 24 | 360 | Connected Low-Loss Subspace Learning for a Personalization in Federated Learning |
| 25 | 382 | TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning |
| 26 | 398 | pureGAM: Learning an Inherently Pure Additive Model |
| 27 | 400 | MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting |
| 28 | 410 | Graph-in-Graph Network for Automatic Gene Ontology Description Generation |
| 29 | 414 | Fair and interpretable models for survival analysis |
| 30 | 419 | Learned Token Reduction for Efficient Transformer Inference |
| 31 | 433 | Core-periphery Partitioning and Quantum Annealing |
| 32 | 439 | Active Model Adaptation Under Unknown Shift |
| 33 | 449 | Balancing Bias and Variance for Active Weakly Supervised Learning |
| 34 | 462 | Task-Adaptive Few-shot Node Classification |
| 35 | 476 | Importance Prioritized Policy Distillation |
| 36 | 522 | Synthesising Audio Adversarial Examples for Automatic Speech Recognition |
| 37 | 525 | Comprehensive Fair Meta-learned Recommender System |
| 38 | 539 | A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction |
| 39 | 565 | Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams |
| 40 | 568 | Core-periphery Models for Hypergraphs |
| 41 | 576 | Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting |
| 42 | 577 | Multiplex Heterogeneous Graph Convolutional Network |
| 43 | 606 | Reinforcement Subgraph Reasoning for Fake News Detection |
| 44 | 610 | Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction |
| 45 | 631 | Disentangled Heterogeneous Dynamic Graph Learning for Opioid Overdose Prediction |
| 46 | 632 | Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation |
| 47 | 634 | Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer |
| 48 | 647 | Training Graph Neural Networks in Extreme Low-Data Regime |
| 49 | 665 | SIPF: Sampling Method for Inverse Protein Folding |
| 50 | 678 | Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy Model |
| 51 | 679 | JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks |
| 52 | 681 | Avoiding Biases due to Similarity Assumptions in Node Embeddings |
| 53 | 694 | SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion |
| 54 | 704 | Joint Knowledge Graph Completion and Question Answering |
| 55 | 713 | An Embedded Feature Selection Framework for Control |
| 56 | 724 | Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders |
| 57 | 739 | p-Meta: Towards On-device Deep Model Adaptation |
| 58 | 749 | Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph |
| 59 | 757 | Practical Counterfactual Policy Learning for Top-$K$ Recommendations |
| 60 | 759 | Global Self-Attention as a Replacement for Graph Convolution |
| 61 | 767 | Semisupervised Drifted Stream Learning with Short Lookback |
| 62 | 773 | Demystify Hyperparameters for Stochastic Optimization with Transferable Representations |
| 63 | 779 | Learning Causal Effects on Hypergraphs |
| 64 | 789 | ROLAND: Graph Learning Framework for Dynamic Graphs |
| 65 | 811 | Deep Representations for Time-varying Brain Datasets |
| 66 | 814 | Fair Representation Learning: An Alternative to Mutual Information |
| 67 | 821 | Efficient Join Order Selection Learning with Graph-based Representation |
| 68 | 828 | SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin Loss |
| 69 | 839 | Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing |
| 70 | 854 | CoRGi: Content-Rich Graph Neural Networks with Attention |
| 71 | 902 | RL2: A Call for Simultaneous Representation Learning and Rule Learning for Graph Streams |
| 72 | 905 | Variational Graph Author Topic Modeling |
| 73 | 911 | Contrastive Learning with Complex Heterogeneity |
| 74 | 915 | Neural Bandit with Arm Group Graph |
| 75 | 916 | Meta-Learned Metrics over Multi-Evolution Temporal Graphs |
| 76 | 950 | MT-FlowFormer: A Semi-Supervised Flow Transformer for Encrypted Traffic Classification |
| 77 | 986 | Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification |
| 78 | 989 | Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data |
| 79 | 993 | On Structural Explanation of Bias in Graph Neural Networks |
| 80 | 1016 | Streaming Hierarchical Clustering based on Point-set Kernel |
| 81 | 1021 | Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning |
| 82 | 1049 | Non-stationary A/B Tests |
| 83 | 1053 | Nonlinearity Encoding for Extrapolation of Neural Networks |
| 84 | 1057 | Towards a Native Quantum Paradigm for Graph Representation Learning: a Sampling-based Recurrent Embedding Approach |
| 85 | 1059 | Communication-Efficient Robust Federated Learning with Noisy Labels |
| 86 | 1064 | Task-Aware Reconstruction for Time-Series Transformer |
| 87 | 1085 | ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities |
| 88 | 1092 | Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification |
| 89 | 1094 | Ultrahyperbolic Knowledge Graph Embeddings |
| 90 | 1097 | Batch Stochastic Bin Packing in Cloud: A Chance-constrained Optimization Approach |
| 91 | 1105 | Streaming Graph Neural Networks with Generative Replay |
| 92 | 1106 | Accurate Node Feature Estimation with Structured Variational Graph Autoencoder |
| 93 | 1129 | LinE: Logical Query Reasoning over Hierarchical Knowledge Graphs |
| 94 | 1155 | Local Evaluation of Time Series Anomaly Detection Algorithms |
| 95 | 1160 | Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection |
| 96 | 1176 | Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation |
| 97 | 1182 | Motif Prediction with Graph Neural Networks |
| 98 | 1235 | Framing Algorithmic Recourse for Anomaly Detection |
| 99 | 1236 | Dense feature tracking of atmospheric winds with deep optical flow |
| 100 | 1237 | GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks |
| 101 | 1238 | Graph Rationalization with Environment-based Augmentations |
| 102 | 1240 | Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream |
| 103 | 1255 | Robust and Informative Text Augmentation (RITA) via Constrained Worst-Case Transformations for Low-Resource Named Entity Recognition |
| 104 | 1263 | Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs |
| 105 | 1345 | Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking |
| 106 | 1351 | Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution |
| 107 | 1356 | Human mobility prediction with causal and spatial-constrained multi-task network |
| 108 | 1383 | Explaining Recurrent Neural Networks by Learning Automata with Adaptive States |
| 109 | 1386 | LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization |
| 110 | 1388 | TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation |
| 111 | 1409 | Knowledge-enhanced Black-box Attacks for Recommendations |
| 112 | 1419 | Optimal Interpretable Clustering Using Oblique Decision Trees |
| 113 | 1439 | Deep Learning For Prognosis Using Task-fMRI: A Novel Architecture and Training Scheme |
| 114 | 1451 | Multi-fidelity Hierarchical Neural Processes |
| 115 | 1482 | Causal Attention for Graph Classification |
| 116 | 1484 | Modeling Individual Decision-Making Style in Chess |
| 117 | 1518 | Transfer Learning based Search Space Design for Hyperparameter Tuning |
| 118 | 1543 | CLARE: A Semi-supervised Community Detection Algorithm |
| 119 | 1544 | Minimizing Congestion for Balanced Dominators |
| 120 | 1561 | Delayed Feedback Modeling with a Time Window Assumption |
| 121 | 1564 | An Empirical Study of Deep Graph Neural Networks |
| 122 | 1565 | Spatio-Temporal Trajectory Similarity Learning in Road Networks |
| 123 | 1581 | Bilateral Dependency Optimization: Defending Against Model-inversion Attacks |
| 124 | 1593 | HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering |
| 125 | 1637 | Domain Adaptation in Physical Systems via Graph Kernel |
| 126 | 1660 | Towards Universal Sequence Representation Learning for Recommender Systems |
| 127 | 1690 | Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning |
| 128 | 1713 | Graph-Flashback Network for Next Location Recommendation |
| 129 | 1715 | FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks |
| 130 | 1724 | Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span Extraction |
| 131 | 1732 | Graph Neural Networks with Node-wise Architecture |
| 132 | 1766 | Subset Node Anomaly Tracking over Large Dynamic Graphs |
| 133 | 1770 | Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions |
| 134 | 1775 | Debiasing Learning for Membership Inference Attacks Against Recommender Systems |
| 135 | 1800 | Multi-Variate Time Series Forecasting on Variable Subsets |
| 136 | 1802 | Unsupervised Key Event Detection from Massive Text Corpus |
| 137 | 1816 | MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting |
| 138 | 1828 | Discovering Significant Patterns under Sequential False Discovery Control |
| 139 | 1832 | Incremental Cognitive Diagnosis for Intelligent Education |
| 140 | 1839 | Reliable Representations Make A Stonger Defender:Unsupervised Structure Refinement for Robust GNN |
| 141 | 1854 | Causal Discovery on Non-Euclidean data |
| 142 | 1944 | External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters |
| 143 | 1949 | Fair View Graph Neural Network for Fair Node Representation Learning |
| 144 | 1964 | SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs |
| 145 | 1980 | FlowGEN: A Generative Model for Flow Graphs |
| 146 | 1986 | The DipEncoder: Enforcing Multimodality in Autoencoders |
| 147 | 2001 | PAC-Wrap: Semi-Supervised PAC Anomaly Detection |
| 148 | 2005 | Scalable Differentially Private Clustering via Hierarchically Separated Trees |
| 149 | 2012 | Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery |
| 150 | 2031 | Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles |
| 151 | 2049 | Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes |
| 152 | 2058 | BLISS: A Billion scale Index using Iterative Re-partitioning |
| 153 | 2066 | Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks |
| 154 | 2069 | Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing |
| 155 | 2087 | A Model-Agnostic Approach to Differentially Private Topic Mining |
| 156 | 2095 | How does Heterophily Impact Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications |
| 157 | 2098 | RES: A Robust Framework for Visual Explanation Supervision |
| 158 | 2102 | Adaptive Fairness-Aware Online Meta-Learning for Changing Environments |
| 159 | 2107 | RLogic: Recurrent Logical Rule Learning from Knowledge Graphs |
| 160 | 2133 | Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning |
| 161 | 2158 | Nimble GNN Embedding with Tensor-Train |
| 162 | 2169 | Releasing Private Data for Numerical Queries |
| 163 | 2192 | COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning |
| 164 | 2199 | Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction |
| 165 | 2205 | Robust Event Forecasting with Spatiotemporal Confounder Learning |
| 166 | 2207 | Model Integrity Authentication in Gradient Boosting Machine |
| 167 | 2213 | Condensing Graphs via One-Step Gradient Matching |
| 168 | 2220 | Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers |
| 169 | 2223 | Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer |
| 170 | 2229 | PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions |
| 171 | 2319 | A Spectral Representation of Networks: The Path of Subgraphs |
| 172 | 2327 | Partial Label Learning with Semantic Label Representations |
| 173 | 2339 | Graph Structural Attack by Perturbing Spectral Distance |
| 174 | 2341 | Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation |
| 175 | 2350 | Enhancing Machine Learning Approaches for Graph Optimization Problems with Diversifying Graph Augmentation |
| 176 | 2357 | Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation |
| 177 | 2376 | Invariant Preference Learning for General Debiasing in Recommendation |
| 178 | 2396 | Physics-infused Machine Learning for Crowd Simulation |
| 179 | 2397 | Geometric Graph Representation Learning on Protein Structures |
| 180 | 2414 | Saliency-regularized Deep Multi-task Learning |
| 181 | 2416 | Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation |
| 182 | 2433 | Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty |
| 183 | 2439 | Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective |
| 184 | 2472 | RetroGraph: Retrosynthetic Planning with Graph Search |
| 185 | 2485 | ML4S: Learning Causal Skeleton from Vicinal Graphs |
| 186 | 2488 | Robust Inverse Framework using Self-Supervised Learning: An application to Hydrology |
| 187 | 2499 | Variational Flow Graphical Model |
| 188 | 2500 | Fair Labelled Clustering |
| 189 | 2502 | Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation |
| 190 | 2512 | Disentangled Ontology Embedding for Zero-shot Learning |
| 191 | 2513 | SOS: Score-based Oversampling Minor Classes for Tabular Data |
| 192 | 2515 | KRATOS: Context-aware cell type classification and interpretation using joint dimensionality reduction and clustering |
| 193 | 2520 | Clustering with fair center representation: parameterized approximation algorithms and heuristics |
| 194 | 2536 | User-Event Graph Embedding Learning for Context-Aware Recommendation |
| 195 | 2538 | Knowledge Enhanced Search Result Diversification |
| 196 | 2546 | Numerical Tuple Extraction from Tables with Pre-training |
| 197 | 2607 | State Dependent Parallel Neural Hawkes Process for Limit Order Book Event Stream Prediction and Simulation |
| 198 | 2608 | ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis |
| 199 | 2615 | Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models |
| 200 | 2618 | A Generalized Backward-Compatibility Metric |
| 201 | 2631 | On missing labels, long-tails and propensities in extreme multi-label classification |
| 202 | 2640 | Finding Meta Winning Ticket to Train Your MAML |
| 203 | 2644 | Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank |
| 204 | 2659 | A Nearly-Linear Time Algorithm for Minimizing Risk of Conflict in Social Networks |
| 205 | 2663 | Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction |
| 206 | 2667 | Learning Relevant Information in Conversational Search and Recommendation using Deep Reinforcement Learning |
| 207 | 2671 | Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries |
| 208 | 2674 | Self-Augmented Hypergraph Transformer for Recommender Systems |
| 209 | 2680 | Aligning Dual Disentangled User Representations from Ratings and Textual Content |
| 210 | 2683 | HICF: Hyperbolic Informative Collaborative Filtering |
| 211 | 2715 | In Defense of Core-set: A Density-aware Core-set Selection for Active Learning |
| 212 | 2731 | ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences |
| 213 | 2757 | Geometric Policy Iteration for Markov Decision Processes |
| 214 | 2765 | Discovering Invariant and Changing Mechanisms from Data |