2022 AAAI 关于图的接收列表
36: Video as Conditional Graph Hierarchy for Multi-Granular Question Answering Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua
51: LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks Adam Goodge, Bryan Hooi, Ng See Kiong, Ng Wee Siong
176: Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks
281: Meta Propagation Networks for Graph Few-Shot Semi-Supervised Learning Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
452: HEAL: A Knowledge Graph for Distress Management Conversations Anuradha Welivita, Pearl Pu
907: Graph Structure Learning with Variational Information Bottleneck Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
912: SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Yijun Liu
928: Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection
961: Fuzzy Logic based Logical Query Answering on Knowledge Graphs Xuelu Chen, Ziniu Hu, Yizhou Sun
971: Self-Supervised Object Localization with Joint Graph Partition Yukun Su, Guosheng Lin, Yiwen Cao, Qingyao Wu
1594: A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection Zhipeng Xie, Yumin Tu
1665: Cross-Domain Few-Shot Graph Classification Kaveh Hassani
1731: Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning Jin Chen, Xiaofeng Ji, Xinxiao Wu
1843: Learning Optical Flow with Adaptive Graph Reasoning
2407: ProtGNN: Towards Self-Explaining Graph Neural Networks Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, CheeKong Lee
2430: Disentangled Spatiotemporal Graph Generative Model Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Zhao Liang
2598: Molecular Contrastive Learning with Chemical Element Knowledge Graph
3206: Planning with Explanations for Finding Desired Meeting Points on Graphs Keisuke Otaki
3312: Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily
3353: Robust Graph-Based Multi-View Clustering
3637: EqGNN: Equalized Node Opportunity in Graphs Uriel Singer, Kira Radinsky
3643: Low-Pass Graph Convolutional Network for Recommendation Wenhui Yu, Zixin Zhang, Zheng Qin
3760: TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp
3877: Adaptive Kernel Graph Neural Network
3954: MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning
3999: Simple Unsupervised Graph Representation Learning Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu
4026: Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew Eberhard, Andreas Ernst
4030: Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing
4116: Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network Yuan Wang, Min Cao, Zhenfeng Fan, Silong Peng
4152: Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha
4236: A Self-Supervised Mixed-Curvature Graph Neural Network
4316: CoCoS: Enhancing Semi-Supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau
4442: Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
4566: Coarse-to-Fine Generative Modeling for Graphic Layouts Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang
4569: Learning to Walk with Dual Agents for Knowledge Graph Reasoning Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong
4599: SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr
4609: Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying
4695: Algorithmic Fairness Verification with Graphical Models Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
4722: Identifiability of Linear AMP Chain Graph Models Yuhao Wang, Arnab Bhattacharyya
4850: JAKET: Joint Pre-Training of Knowledge Graph and Language Understanding Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng
4867: Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee, Junseok Lee, Chanyoung Park
4879: Multi-View Intent Disentangle Graph Networks for Bundle Recommendation Sen Zhao, Wei Wei, Ding Zou, Xianling Mao
4979: RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning Hansheng Xue, Vijini G Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin
5011: Reconfiguring Shortest Paths in Graphs
5060: ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li
5246: From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng
5325: Graph-Based Point Tracker for 3D Object Tracking in Point Clouds Minseong Park, Hongje Seong, Wonje Jang, Euntai Kim
5637: ER: Equivariance Regularizer for Knowledge Graph Completion Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
5690: Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang
5856: (2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering Anoop Cherian, Chiori Hori, Tim K. Marks, Jonathan Le Roux
5928: Deep Graph Clustering via Dual Correlation Reduction
5979: Directed Graph Auto-Encoders
6006: Block Modeling-Guided Graph Convolutional Neural Networks
6118: Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections Zhenzhang Ye, Tarun Yenamandra, Florian Bernard, Daniel Cremers
6178: LogicDef: An Interpretable Defense Framework Against Adversarial Examples via Inductive Scene Graph Reasoning
6210: Temporal Knowledge Graph Completion Using Box Embeddings Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan
6292: On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin
6370: DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma
6502: Graph Neural Controlled Differential Equations for Traffic Forecasting Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park
6508: An Exact Algorithm with New Upper Bounds for the Maximum $k$-Defective Clique Problem in Massive Sparse Graphs
6561: SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning
6564: KerGNNs: Interpretable Graph Neural Networks with Graph Kernels Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas
6706: Fast Graph Neural Tangent Kernel via Kronecker Sketching Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo
6732: Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
6763: Defending Graph Convolutional Networks Against Dynamic Graph Perturbations via Bayesian Self- Supervision
6800: Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs Chang Lu, Tian Han, Yue Ning
6812: Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization Zixing Song, Irwin King
6883: GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong
7214: Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction
7245: Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching
7257: GraphMemDialog: Optimizing End-to-End Task-Oriented Dialog Systems Using Graph Memory Networks Jie Wu, Ian G. Harris, Hongzhi Zhao
7415: Orthogonal Graph Neural Networks
7452: How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li
7549: Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo
7594: Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du
7782: TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu
7820: GNN-Retro: Retrosynthetic Planning with Graph Neural Networks
7927: ACGNet: Action Complement Graph Network for Weakly-Supervised Temporal Action Localization Zichen Yang, Jie Qin, Di Huang
7929: Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen
8037: Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering
8149: The Complexity of Temporal Vertex Cover in Small-Degree Graphs Thekla Hamm, Nina Klobas, George B. Mertzios, Paul G. Spirakis
8303: Exploring Relational Semantics for Inductive Knowledge Graph Completion Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha
8309: DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang
8378: SAIL: Self-Augmented Graph Contrastive Learning
8491: Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
8561: Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning Thilini Cooray, Ngai-Man Cheung
8575: Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph
8577: Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates
8658: Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim
8686: A Little Charity Guarantees Fair Connected Graph Partitioning
8777: Graph Pointer Neural Networks
8829: fGOT: Graph Distances based on Filters and Optimal Transport
8885: Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search Animesh Sinha, Utkarsh Azad, Harjinder Singh
10039: Lifelong Generative Modelling Using Dynamic Expansion Graph Model Fei Ye, Adrian G. Bors
10168: Differentially Describing Groups of Graphs Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken
10221: Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs
10463: LeSICiN: A Heterogeneous Graph-Based Approach for Automatic Legal Statute Identification from Indian Legal Documents
10689: ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs
11021: TempoQR: Temporal Question Reasoning over Knowledge Graphs
11130: Robust Heterogeneous Graph Neural Networks against Adversarial Attacks Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou
11209: Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang
11284: Geometry Interaction Knowledge Graph Embeddings
11694: AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang
11745: Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Joonhyung Park, Hajin Shim, Eunho Yang
11849: Unsupervised Adversarially Robust Representation Learning on Graphs Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun
11851: Interpretable Neural Subgraph Matching for Graph Retrieval Indradyumna Roy, Venkata Sai Velugoti, Soumen Chakrabarti, Abir De
11985: Multi-Scale Distillation from Multiple Graph Neural Networks Chunhai Zhang, Jie Liu, Kai Dang, Wenzheng Zhang
11998: Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou
12056: HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi
12545: Deformable Graph Convolutional Networks Jinyoung Park, Sungdong Yoo, JIhwan Park, Hyunwoo J. Kim
12793: Improving Scene Graph Classification by Exploiting Knowledge from Texts
12821: Robustification of Online Graph Exploration Methods
12843: Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt
12865: VACA: Designing Variational Graph Autoencoders for Causal Queries Pablo Sanchez-Martin, Miriam Rateike, Isabel Valera
12891: Graph Filtration Kernels
12900: Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs Chunpai Wang, Daniel B. Neill, Feng Chen
12902: Beyond GNNs: An Efficient Architecture for Graph Problems Pranjal Awasthi, Abhimanyu Das, Sreenivas Gollapudi
12960: Recursive Reasoning Graph for Multi-Agent Reinforcement Learning Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer
6475: CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting
7045: Personalized Public Policy Analysis In Social Sciences Using Causal-Graphical Normalizing Flows Sourabh Balgi, Jose M. Peña, Adel Daoud
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