Algorithmic Tools for Understanding the Motif Structure of Networks (English)
- New search for: Chen, Tianyi
- New search for: Matejek, Brian
- New search for: Mitzenmacher, Michael
- New search for: Tsourakakis, Charalampos E.
- New search for: Amini, Massih-Reza
- New search for: Canu, Stéphane
- New search for: Fischer, Asja
- New search for: Guns, Tias
- New search for: Kralj Novak, Petra
- New search for: Tsoumakas, Grigorios
- New search for: Chen, Tianyi
- New search for: Matejek, Brian
- New search for: Mitzenmacher, Michael
- New search for: Tsourakakis, Charalampos E.
In:
Machine Learning and Knowledge Discovery in Databases
: European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II
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Chapter: 1
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3-19
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2023
- Article/Chapter (Book) / Electronic Resource
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Title:Algorithmic Tools for Understanding the Motif Structure of Networks
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Additional title:Lect.Notes Computer
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Contributors:Amini, Massih-Reza ( editor ) / Canu, Stéphane ( editor ) / Fischer, Asja ( editor ) / Guns, Tias ( editor ) / Kralj Novak, Petra ( editor ) / Tsoumakas, Grigorios ( editor ) / Chen, Tianyi ( author ) / Matejek, Brian ( author ) / Mitzenmacher, Michael ( author ) / Tsourakakis, Charalampos E. ( author )
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Conference:Joint European Conference on Machine Learning and Knowledge Discovery in Databases ; 2022 ; Grenoble, France
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Published in:Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II ; Chapter: 1 ; 3-19Lecture Notes in Computer Science ; 13714 ; 3-19
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Publisher:
- New search for: Springer International Publishing
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Place of publication:Cham
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Publication date:2023-03-17
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Size:17 pages
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ISBN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Algorithmic Tools for Understanding the Motif Structure of NetworksChen, Tianyi / Matejek, Brian / Mitzenmacher, Michael / Tsourakakis, Charalampos E. et al. | 2023
- 2
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Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label GraphsDuan, Yijun / Liu, Xin / Jatowt, Adam / Yu, Hai-tao / Lynden, Steven / Kim, Kyoung-Sook / Matono, Akiyoshi et al. | 2023
- 3
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Understanding the Benefits of Forgetting When Learning on Dynamic GraphsTissier, Julien / Laclau, Charlotte et al. | 2023
- 4
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Summarizing Labeled Multi-graphsBerberidis, Dimitris / Liang, Pierre J. / Akoglu, Leman et al. | 2023
- 5
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Inferring Tie Strength in Temporal NetworksOettershagen, Lutz / Konstantinidis, Athanasios L. / Italiano, Giuseppe F. et al. | 2023
- 6
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Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised ApproachTom, Ancy Sarah / Ahmed, Nesreen K. / Karypis, George et al. | 2023
- 7
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ProcK: Machine Learning for Knowledge-Intensive ProcessesJacobs, Tobias / Yu, Jingyi / Gastinger, Julia / Sztyler, Timo et al. | 2023
- 8
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Enhance Temporal Knowledge Graph Completion via Time-Aware Attention Graph Convolutional NetworkWei, Haohui / Huang, Hong / Zhang, Teng / Shi, Xuanhua / Jin, Hai et al. | 2023
- 9
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Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph EmbeddingsKochsiek, Adrian / Niesel, Fritz / Gemulla, Rainer et al. | 2023
- 10
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Multi-source Inductive Knowledge Graph TransferHao, Junheng / Tang, Lu-An / Sun, Yizhou / Chen, Zhengzhang / Chen, Haifeng / Rhee, Junghwan / Li, Zhichuan / Wang, Wei et al. | 2023
- 11
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MULTIFORM: Few-Shot Knowledge Graph Completion via Multi-modal ContextsZhang, Xuan / Liang, Xun / Zheng, Xiangping / Wu, Bo / Guo, Yuhui et al. | 2023
- 12
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RDF Knowledge Base Summarization by Inducing First-Order Horn RulesWang, Ruoyu / Sun, Daniel / Wong, Raymond et al. | 2023
- 13
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A Heterogeneous Propagation Graph Model for Rumor Detection Under the Relationship Among Multiple Propagation SubtreesLi, Guoyi / Hu, Jingyuan / Wu, Yulei / Zhang, Xiaodan / Zhou, Wei / Lyu, Honglei et al. | 2023
- 14
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DeMis: Data-Efficient Misinformation Detection Using Reinforcement LearningKawintiranon, Kornraphop / Singh, Lisa et al. | 2023
- 15
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The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter Users During the COVID-19 PandemicChen, Ninghan / Chen, Xihui / Zhong, Zhiqiang / Pang, Jun et al. | 2023
- 16
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SkipCas: Information Diffusion Prediction Model Based on Skip-GramRen, Dedong / Liu, Yong et al. | 2023
- 17
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Probing Spurious Correlations in Popular Event-Based Rumor Detection BenchmarksWu, Jiaying / Hooi, Bryan et al. | 2023
- 18
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Self-supervised Graph Learning with Segmented Graph ChannelsGao, Hang / Li, Jiangmeng / Zheng, Changwen et al. | 2023
- 19
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TopoAttn-Nets: Topological Attention in Graph Representation LearningChen, Yuzhou / Sizikova, Elena / Gel, Yulia R. et al. | 2023
- 20
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SEA: Graph Shell Attention in Graph Neural NetworksFrey, Christian M. M. / Ma, Yunpu / Schubert, Matthias et al. | 2023
- 21
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Edge but not Least: Cross-View Graph PoolingZhou, Xiaowei / Yin, Jie / Tsang, Ivor W. et al. | 2023
- 22
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GNN Transformation Framework for Improving Efficiency and ScalabilityMaekawa, Seiji / Sasaki, Yuya / Fletcher, George / Onizuka, Makoto et al. | 2023
- 23
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Masked Graph Auto-Encoder Constrained Graph PoolingLiu, Chuang / Zhan, Yibing / Ma, Xueqi / Tao, Dapeng / Du, Bo / Hu, Wenbin et al. | 2023
- 24
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Supervised Graph Contrastive Learning for Few-Shot Node ClassificationTan, Zhen / Ding, Kaize / Guo, Ruocheng / Liu, Huan et al. | 2023
- 25
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A Piece-Wise Polynomial Filtering Approach for Graph Neural NetworksLingam, Vijay / Sharma, Manan / Ekbote, Chanakya / Ragesh, Rahul / Iyer, Arun / Sellamanickam, Sundararajan et al. | 2023
- 26
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NE-WNA: A Novel Network Embedding Framework Without Neighborhood AggregationZhang, Jijie / Yang, Yan / Liu, Yong / Han, Meng et al. | 2023
- 27
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Transforming PageRank into an Infinite-Depth Graph Neural NetworkRoth, Andreas / Liebig, Thomas et al. | 2023
- 28
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Learning to Solve Minimum Cost Multicuts Efficiently Using Edge-Weighted Graph Convolutional Neural NetworksJung, Steffen / Keuper, Margret et al. | 2023
- 29
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AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model DeploymentWu, Zhenbang / Xiao, Cao / Glass, Lucas M. / Liebovitz, David M. / Sun, Jimeng et al. | 2023
- 30
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Hyperbolic Deep Keyphrase GenerationZhang, Yuxiang / Yang, Tianyu / Jiang, Tao / Li, Xiaoli / Wang, Suge et al. | 2023
- 31
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On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment AnalysisLebmeier, Elisabeth / Aßenmacher, Matthias / Heumann, Christian et al. | 2023
- 32
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An Ion Exchange Mechanism Inspired Story Ending Generator for Different CharactersJiang, Xinyu / Zhang, Qi / Shi, Chongyang / Jiang, Kaiying / Hu, Liang / Wang, Shoujin et al. | 2023
- 33
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Vec2Node: Self-Training with Tensor Augmentation for Text Classification with Few LabelsAbdali, Sara / Mukherjee, Subhabrata / Papalexakis, Evangelos E. et al. | 2023
- 34
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“Let’s Eat Grandma”: Does Punctuation Matter in Sentence Representation?Karami, Mansooreh / Mosallanezhad, Ahmadreza / Mancenido, Michelle V. / Liu, Huan et al. | 2023
- 35
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Contextualized Graph Embeddings for Adverse Drug Event DetectionGao, Ya / Ji, Shaoxiong / Zhang, Tongxuan / Tiwari, Prayag / Marttinen, Pekka et al. | 2023
- 36
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Bi-matching Mechanism to Combat Long-tail Senses of Word Sense DisambiguationZhang, Junwei / He, Ruifang / Guo, Fengyu et al. | 2023
- 37
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FairDistillation: Mitigating Stereotyping in Language ModelsDelobelle, Pieter / Berendt, Bettina et al. | 2023
- 38
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Self-distilled Pruning of Deep Neural NetworksO’ Neill, James / Dutta, Sourav / Assem, Haytham et al. | 2023
- 39
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MultiLayerET: A Unified Representation of Entities and Topics Using Multilayer GraphsAlshehri, Jumanah / Stanojevic, Marija / Khan, Parisa / Rapp, Benjamin / Dragut, Eduard / Obradovic, Zoran et al. | 2023
- 40
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MFDG: A Multi-Factor Dialogue Graph Model for Dialogue Intent ClassificationPang, Jinhui / Xu, Huinan / Song, Shuangyong / Zou, Bo / He, Xiaodong et al. | 2023
- 41
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Contextual Information and Commonsense Based Prompt for Emotion Recognition in ConversationYi, Jingjie / Yang, Deqing / Yuan, Siyu / Cao, Kaiyan / Zhang, Zhiyao / Xiao, Yanghua et al. | 2023
- 42
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Do You Know My Emotion? Emotion-Aware Strategy Recognition Towards a Persuasive Dialogue SystemPeng, Wei / Hu, Yue / Xing, Luxi / Xie, Yuqiang / Sun, Yajing et al. | 2023
- 43
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Customized Conversational Recommender SystemsLi, Shuokai / Zhu, Yongchun / Xie, Ruobing / Tang, Zhenwei / Zhang, Zhao / Zhuang, Fuzhen / He, Qing / Xiong, Hui et al. | 2023
- 44
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Correction to: On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment AnalysisLebmeier, Elisabeth / Aßenmacher, Matthias / Heumann, Christian et al. | 2023