AAAI 2023

2,023 papers

WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction

Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang

Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment

qizhou wang, Guansong Pang, Mahsa Salehi, Wray Buntine, Christopher Leckie

Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout

Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Xuan Song

Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning

Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun

Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs

Dingmin Wang, Yeyuan Chen, Bernardo Cuenca Grau

Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information

Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces

Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu

Opinion Optimization in Directed Social Networks

Haoxin Sun, Zhongzhi Zhang

Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation

Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu

Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction

Hongzu Su, Zhekai Du, Jingjing Li, LEI ZHU, Ke Lu

Scaling Law for Recommendation Models: Towards General-Purpose User Representations

Kyuyong Shin, Hanock Kwak, Su Young Kim, Max Nihlén Ramström, Jisu Jeong

Online Random Feature Forests for Learning in Varying Feature Spaces

Christian Schreckenberger, Yi He, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

Graph Structure Learning on User Mobility Data for Social Relationship Inference

Guangming Qin, Lexue Song, Yanwei Yu, Chao Huang, Wenzhe Jia

Logic and Commonsense-Guided Temporal Knowledge Graph Completion

Guanglin Niu, Bo Li

GMDNet: A Graph-Based Mixture Density Network for Estimating Packages’ Multimodal Travel Time Distribution

Xiaowei Mao, Huaiyu Wan, Haomin Wen, Fan Wu, Jianbin Zheng

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction

Kelong Mao, jieming zhu, Liangcai Su, Guohao Cai, Yuru Li

NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs

Haoran Luo, Haihong E, Yuhao Yang, Gengxian Zhou, Yikai Guo

Time Series Contrastive Learning with Information-Aware Augmentations

Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni

On Generalized Degree Fairness in Graph Neural Networks

Zemin Liu, Trung-Kien Nguyen, Yuan Fang

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating

Yixin Liu, YIZHEN ZHENG, Daokun Zhang, Vincent CS Lee, Shirui Pan

Low-Resource Personal Attribute Prediction from Conversations

Yinan Liu, Hu Chen, Wei Shen, Jiaoyan Chen

Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning

Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu

IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings

Jiajun Liu, Peng Wang, Ziyu Shang, Chenxiao Wu

Multi-Domain Generalized Graph Meta Learning

Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li

Scalable and Effective Conductance-Based Graph Clustering

Longlong Lin, Ronghua Li, Tao Jia

COLA: Improving Conversational Recommender Systems by Collaborative Augmentation

Dongding Lin, Jian Wang, Wenjie Li

PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation

Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen

Signed Laplacian Graph Neural Networks

Yu Li, Meng Qu, Jian Tang, Yi Chang

Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction

Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang

Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors

Jingtao Li, Xinyu Wang, Hengwei Zhao, Shaoyu Wang, Yanfei Zhong

Multiple Robust Learning for Recommendation

Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong

Towards Reliable Item Sampling for Recommendation Evaluation

Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao

Parameterized Algorithms for Colored Clustering

Leon Kellerhals, Tomohiro Koana, Pascal Kunz, Rolf Niedermeier

GLCC: A General Framework for Graph-Level Clustering

Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin

Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning

Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye

Continuous Trajectory Generation Based on Two-Stage GAN

Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang

PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction

Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction

Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu

Detecting Sources of Healthcare Associated Infections

Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash

T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation

Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang

Constrained Market Share Maximization by Signal-Guided Optimization

Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku

Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain

Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang

SAH: Shifting-Aware Asymmetric Hashing for Reverse k Maximum Inner Product Search

Qiang Huang, Yanhao Wang, Anthony K. H. Tung

Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation

Han Huang, Leilei Sun, Bowen Du, Weifeng Lv

Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling

Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu

MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning

Xumeng Gong, Cheng Yang, Chuan Shi

Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning

Letian Gong, Youfang Lin, Shengnan Guo, Yan Lin, Tianyi Wang

DropMessage: Unifying Random Dropping for Graph Neural Networks

Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang

Soft Target-Enhanced Matching Framework for Deep Entity Matching

Wenzhou Dou, Derong Shen, Xiangmin Zhou, Tiezheng Nie, Yue Kou

DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization

Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang

Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction

Pan Deng, Yu Zhao, Junting Liu, Xiaofeng Jia, Mulan Wang

Rule Induction in Knowledge Graphs Using Linear Programming

Sanjeeb Dash, Joao Goncalves

Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation

Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang

Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs

Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang

Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction

Chanyoung Chung, Joyce Jiyoung Whang

Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation

Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park

Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks

Zhaoliang Chen, zhihao wu, Shiping Wang, Wenzhong Guo

Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding

Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao

End-to-End Entity Linking with Hierarchical Reinforcement Learning

Lihan Chen, Tinghui Zhu, Jingping Liu, Jiaqing Liang, Yanghua Xiao

PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs

Jianhao Chen, Junyang Ren, Wentao Ding, Yuzhong Qu

Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items

Huajie Chen, Jiyuan He, Weisheng Xu, Tao Feng, Ming Liu

Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation

Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang

LANCER: A Lifetime-Aware News Recommender System

Hong-Kyun Bae, Jeewon Ahn, Dongwon Lee, Sang-Wook Kim

Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers

Jiongzhi Zheng, Kun He, Jianrong Zhou

Eliminating the Impossible, Whatever Remains Must Be True: On Extracting and Applying Background Knowledge in the Context of Formal Explanations

Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Nina Narodytska, Joao Marques-Silva

Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus

Yudong Xu, Elias B. Khalil, Scott Sanner

The Expressive Power of Ad-Hoc Constraints for Modelling CSPs

Ruiwei Wang, Roland H.C. Yap

Probabilistic Generalization of Backdoor Trees with Application to SAT

Alexander Semenov, Daniil Chivilikhin, Stepan Kochemazov, Ibragim Dzhiblavi

Circuit Minimization with QBF-Based Exact Synthesis

Franz-Xaver Reichl, Friedrich Slivovsky, Stefan Szeider

Generalized Confidence Constraints

Guillaume Perez, Steve Malalel, Gael Glorian, Victor Jung, Alexandre Papadopoulos

Constraint Optimization over Semirings

A. Pavan, Kuldeep S. Meel, N. V. Vinodchandran, Arnab Bhattacharyya

Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories

Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett

Self-Supervised Primal-Dual Learning for Constrained Optimization

Seonho Park, Pascal Van Hentenryck

Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem

Yanli Liu, Jiming Zhao, Chu-Min Li, Hua Jiang, Kun He

Finding Good Partial Assignments during Restart-Based Branch and Bound Search

Hongbo Li, Jimmy H.M. Lee

Fast Converging Anytime Model Counting

Yong Lai, Kuldeep S. Meel, Roland H.C. Yap

Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma

Nan Jiang, Yi Gu, Yexiang Xue

Second-Order Quantified Boolean Logic

Jie-Hong R. Jiang

Solving Explainability Queries with Quantification: The Case of Feature Relevancy

Xuanxiang Huang, Yacine Izza, Joao Marques-Silva

Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints

Xinyi Hu, Jasper C.H. Lee, Jimmy H.M. Lee

An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing

Yuya Hikima, Yasunori Akagi, Hideaki Kim, Taichi Asami

A Framework to Design Approximation Algorithms for Finding Diverse Solutions in Combinatorial Problems

Tesshu Hanaka, Masashi Kiyomi, Yasuaki Kobayashi, Yusuke Kobayashi, Kazuhiro Kurita

Submodular Maximization under the Intersection of Matroid and Knapsack Constraints

Yu-Ran Gu, Chao Bian, Chao Qian

SharpSSAT: A Witness-Generating Stochastic Boolean Satisfiability Solver

Yu-Wei Fan, Jie-Hong R. Jiang

DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization

Tonmoy Dey, Yixin Chen, Alan Kuhnle

Complexity of Reasoning with Cardinality Minimality Conditions

Nadia Creignou, Frédéric Olive, Johannes Schmidt

Separate but Equal: Equality in Belief Propagation for Single Cycle Graphs

Erel Cohen, Omer Lev, Roie Zivan

NuWLS: Improving Local Search for (Weighted) Partial MaxSAT by New Weighting Techniques

Yi Chu, Shaowei Cai, Chuan Luo

Lifting (D)QBF Preprocessing and Solving Techniques to (D)SSAT

Che Cheng, Jie-Hong R. Jiang

Improved Algorithms for Maximum Satisfiability and Its Special Cases

Kirill Brilliantov, Vasily Alferov, Ivan Bliznets

Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning

Zhiwen Zuo, lei zhao, Ailin Li, Zhizhong Wang, Zhanjie Zhang

Learn More for Food Recognition via Progressive Self-Distillation

Yaohui Zhu, Linhu Liu, Jiang Tian

RGBD1K: A Large-Scale Dataset and Benchmark for RGB-D Object Tracking

Xue-Feng Zhu, Tianyang Xu, Zhangyong Tang, Zucheng Wu, Haodong Liu

Gradient-Based Graph Attention for Scene Text Image Super-resolution

Xiangyuan Zhu, Kehua Guo, Hui Fang, Rui Ding, Zheng Wu

SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation

Wanqing Zhu, Jia-Li Yin, Bo-Hao Chen, Ximeng Liu

Improving Scene Text Image Super-resolution via Dual Prior Modulation Network

Shipeng Zhu, Zuoyan Zhao, Pengfei Fang, hui xue

Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization

Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang

Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences

Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang

Tree-Structured Trajectory Encoding for Vision-and-Language Navigation

Xinzhe Zhou, Yadong Mu

Video Object of Interest Segmentation

Siyuan Zhou, Chunru Zhan, Biao Wang, Tiezheng Ge, Yuning Jiang