IJCAI 2022

862 papers

Abstract Argumentation Frameworks with Marginal Probabilities

Bettina Fazzinga, Sergio Flesca, Filippo Furfaro

LTL on Weighted Finite Traces: Formal Foundations and Algorithms

Carmine Dodaro, Valeria Fionda, Gianluigi Greco

Epistemic Logic of Likelihood and Belief

James P. Delgrande, Joshua Sack, Gerhard Lakemeyer, Maurice Pagnucco

LTLf Synthesis as AND-OR Graph Search: Knowledge Compilation at Work

Giuseppe De Giacomo, Marco Favorito, Jianwen Li, Moshe Y. Vardi, Shengping Xiao

On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits

Alexis de Colnet, Pierre Marquis

Personalized Federated Learning With a Graph

Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang

On Verifying Expectations and Observations of Intelligent Agents

Sourav Chakraborty, Avijeet Ghosh, Sujata Ghosh, François Schwarzentruber

The Limits of Morality in Strategic Games

Rui Cao, Pavel Naumov

Verification and Monitoring for First-Order LTL with Persistence-Preserving Quantification over Finite and Infinite Traces

Diego Calvanese, Giuseppe De Giacomo, Marco Montali, Fabio Patrizi

Body-Decoupled Grounding via Solving: A Novel Approach on the ASP Bottleneck

Viktor Besin, Markus Hecher, Stefan Woltran

Limits and Possibilities of Forgetting in Abstract Argumentation

Ringo Baumann, Matti Berthold

Annotated Sequent Calculi for Paraconsistent Reasoning and Their Relations to Logical Argumentation

Ofer Arieli, Kees van Berkel, Christian Straßer

Beyond Strong-Cyclic: Doing Your Best in Stochastic Environments

Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin, Florian Zuleger

On Preferences and Priority Rules in Abstract Argumentation

Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna

Rethinking InfoNCE: How Many Negative Samples Do You Need?

Chuhan Wu, Fangzhao Wu, Yongfeng Huang

Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion

Yuchen Wang, Malu Zhang, Yi Chen, Hong Qu

Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations

Sangwon Seo, Vaibhav V. Unhelkar

Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes

Yang Li, Yi Zeng

Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts

Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger

Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks

Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan

Multi-Tier Platform for Cognizing Massive Electroencephalogram

Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang

On the Utility of Prediction Sets in Human-AI Teams

Varun Babbar, Umang Bhatt, Adrian Weller

Proximity Enhanced Graph Neural Networks with Channel Contrast

Wei Zhuo, Guang Tan

Data-Free Adversarial Knowledge Distillation for Graph Neural Networks

Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun

Spiking Graph Convolutional Networks

Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu

Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation

Heng Zhu, Qing Ling

Table2Graph: Transforming Tabular Data to Unified Weighted Graph

Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi

MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection

Jiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang

T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification

Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan

Enhancing Sequential Recommendation with Graph Contrastive Learning

Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei

GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning

Weiqi Zhang, Chen Zhang, Fugee Tsung

Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction

Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun

Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks

Jiaqiang Zhang, Senzhang Wang, Songcan Chen

CERT: Continual Pre-training on Sketches for Library-oriented Code Generation

Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim

Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting

Hongyuan Yu, ting li, Weichen Yu, Jianguo Li, Yan Huang

Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach

Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan

GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion

Chaoqi Yang, Cheng Qian, Jimeng Sun

Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs

Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan

FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning

Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan

Decentralized Unsupervised Learning of Visual Representations

Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi

Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach

Shuang Wu, Jingyu Zhao, Guangjian Tian

Multi-Graph Fusion Networks for Urban Region Embedding

Shangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu

CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition

Xin-Cheng Wen, Jiaxin Ye, Yan Luo, Yong Xu, Xuan-Ze Wang

Ensemble Multi-Relational Graph Neural Networks

Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li

Language Models as Knowledge Embeddings

Xintao Wang, Qianyu He, Jiaqing Liang, Yanghua Xiao

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs

Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li

Augmenting Knowledge Graphs for Better Link Prediction

Jiang Wang, Filip Ilievski, Pedro Szekely, Ke-Thia Yao

HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation

Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng

MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction

Hung-Nghiep Tran, Atsuhiro Takasu

Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs

Bowen Tian, Qinliang Su, Jian Yin

Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion

Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang

Personalized Federated Learning with Contextualized Generalization

Xueyang Tang, Song Guo, Jingcai Guo

Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network

Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu

Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention

Wei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao

Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features

Xinyi Shang, Yang Lu, Gang Huang, Hanzi Wang

Towards Resolving Propensity Contradiction in Offline Recommender Learning

Yuta Saito, Masahiro Nomura

Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios

Dazhong Rong, Qinming He, Jianhai Chen

Raising the Bar in Graph-level Anomaly Detection

Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph

Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data

Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada

Continual Federated Learning Based on Knowledge Distillation

Yuhang Ma, Zhongle Xie, Jue Wang, Ke Chen, Lidan Shou

Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach

Haiping Ma, Jingyuan Wang, Hengshu Zhu, Xin Xia, Haifeng Zhang

Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning

Jun Luo, Shandong Wu

Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback

Fangyuan Luo, Jun Wu, Tao Wang

TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning

Yujia Li, Shiliang Sun, Jing Zhao

Community Question Answering Entity Linking via Leveraging Auxiliary Data

Yuhan Li, Wei Shen, Jianbo Gao, Yadong Wang

MLP4Rec: A Pure MLP Architecture for Sequential Recommendations

Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu

HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams

Geon Lee, Minyoung Choe, Kijung Shin

TGNN: A Joint Semi-supervised Framework for Graph-level Classification

Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen

Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs

Hongwei Jin, Xun Chen

RAW-GNN: RAndom Walk Aggregation based Graph Neural Network

Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning

Di Jin, Luzhi Wang, YIZHEN ZHENG, Xiang Li, Fei Jiang

A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing

Xuan Jiang, Zhiyong Yang, Peisong Wen, Li Su, Qingming Huang

End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection

Tiancheng Huang, Donglin Wang, Yuan Fang, Zhengyu Chen

GraphDIVE: Graph Classification by Mixture of Diverse Experts

Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang

MERIT: Learning Multi-level Representations on Temporal Graphs

Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu

Quaternion Ordinal Embedding

Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang

Constrained Adaptive Projection with Pretrained Features for Anomaly Detection

Xingtai Gui, Di Wu, Yang Chang, Shicai Fan

Self-supervised Graph Neural Networks for Multi-behavior Recommendation

Shuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao

Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure

Yifu Gao, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao

Disentangling the Computational Complexity of Network Untangling

Vincent Froese, Pascal Kunz, Philipp Zschoche

When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters

Ziquan Fang, Dongen Wu, Lu Pan, Lu Chen, Yunjun Gao

MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation

Yu Fan, Jiajie Xu, Rui Zhou, Jianxin Li, Kai Zheng

Feature and Instance Joint Selection: A Reinforcement Learning Perspective

Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong

Private Semi-Supervised Federated Learning

Chenyou Fan, Junjie Hu, Jianwei Huang

CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias

Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting

Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong

Filtration-Enhanced Graph Transformation

Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu

Towards Robust Dense Retrieval via Local Ranking Alignment

Xuanang Chen, Jian Luo, Ben He, Le Sun, Yingfei Sun

Mutual Distillation Learning Network for Trajectory-User Linking

Wei Chen, ShuZhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang

Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting

Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding

Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification

Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu

Robust High-Dimensional Classification From Few Positive Examples

Deepayan Chakrabarti, Benjamin Fauber

Can Abnormality be Detected by Graph Neural Networks?

Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu

Non-Euclidean Self-Organizing Maps

Dorota Celińska-Kopczyńska, Eryk Kopczyński

Entity Alignment with Reliable Path Reasoning and Relation-aware Heterogeneous Graph Transformer

Weishan Cai, Wenjun Ma, Jieyu Zhan, Yuncheng Jiang

Hypergraph Structure Learning for Hypergraph Neural Networks

Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong

Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization

Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang

A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem

Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li, Yanli Liu

BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit

Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li

Inverting 43-step MD4 via Cube-and-Conquer

Oleg Zaikin