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ORCIDPKDD / ECML 2022: Grenoble, France - Part II
- Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13714, Springer 2023, ISBN 978-3-031-26389-7
Networks and Graphs
- Tianyi Chen, Brian Matejek, Michael Mitzenmacher, Charalampos E. Tsourakakis:
Algorithmic Tools for Understanding the Motif Structure of Networks. 3-19 - Yijun Duan, Xin Liu
, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label Graphs. 20-36 - Julien Tissier, Charlotte Laclau:
Understanding the Benefits of Forgetting When Learning on Dynamic Graphs. 37-52 - Dimitris Berberidis, Pierre J. Liang, Leman Akoglu:
Summarizing Labeled Multi-graphs. 53-68 - Lutz Oettershagen, Athanasios L. Konstantinidis, Giuseppe F. Italiano:
Inferring Tie Strength in Temporal Networks. 69-85 - Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis:
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach. 86-103
Knowledge Graphs
- Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler:
ProcK: Machine Learning for Knowledge-Intensive Processes. 107-121 - HaoHui Wei, Hong Huang, Teng Zhang, Xuanhua Shi, Hai Jin:
Enhance Temporal Knowledge Graph Completion via Time-Aware Attention Graph Convolutional Network. 122-137 - Adrian Kochsiek, Fritz Niesel, Rainer Gemulla:
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings. 138-154 - Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichuan Li, Wei Wang:
Multi-source Inductive Knowledge Graph Transfer. 155-171 - Xuan Zhang, Xun Liang, Xiangping Zheng, Bo Wu, Yuhui Guo:
MULTIFORM: Few-Shot Knowledge Graph Completion via Multi-modal Contexts. 172-187 - Ruoyu Wang, Daniel Sun, Raymond K. Wong:
RDF Knowledge Base Summarization by Inducing First-Order Horn Rules. 188-204
Social Network Analysis
- Guoyi Li, Jingyuan Hu, Yulei Wu, Xiaodan Zhang, Wei Zhou, Honglei Lyu:
A Heterogeneous Propagation Graph Model for Rumor Detection Under the Relationship Among Multiple Propagation Subtrees. 207-223 - Kornraphop Kawintiranon, Lisa Singh:
DeMis: Data-Efficient Misinformation Detection Using Reinforcement Learning. 224-240 - Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang:
The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter Users During the COVID-19 Pandemic. 241-257 - Dedong Ren, Yong Liu:
SkipCas: Information Diffusion Prediction Model Based on Skip-Gram. 258-273 - Jiaying Wu, Bryan Hooi:
Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks. 274-290
Graph Neural Networks
- Hang Gao, Jiangmeng Li, Changwen Zheng:
Self-supervised Graph Learning with Segmented Graph Channels. 293-308 - Yuzhou Chen, Elena Sizikova, Yulia R. Gel:
TopoAttn-Nets: Topological Attention in Graph Representation Learning. 309-325 - Christian M. M. Frey, Yunpu Ma, Matthias Schubert:
SEA: Graph Shell Attention in Graph Neural Networks. 326-343 - Xiaowei Zhou, Jie Yin, Ivor W. Tsang:
Edge but not Least: Cross-View Graph Pooling. 344-359 - Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka:
GNN Transformation Framework for Improving Efficiency and Scalability. 360-376 - Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu:
Masked Graph Auto-Encoder Constrained Graph Pooling. 377-393 - Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Supervised Graph Contrastive Learning for Few-Shot Node Classification. 394-411 - Vijay Lingam, Manan Sharma, Chanakya Ekbote, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam:
A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks. 412-452 - Jijie Zhang, Yan Yang, Yong Liu, Meng Han:
NE-WNA: A Novel Network Embedding Framework Without Neighborhood Aggregation. 453-468 - Andreas Roth, Thomas Liebig:
Transforming PageRank into an Infinite-Depth Graph Neural Network. 469-484 - Steffen Jung, Margret Keuper:
Learning to Solve Minimum Cost Multicuts Efficiently Using Edge-Weighted Graph Convolutional Neural Networks. 485-501
Natural Language Processing and Text Mining
- Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun:
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. 505-520 - Yuxiang Zhang, Tianyu Yang, Tao Jiang, Xiaoli Li, Suge Wang:
Hyperbolic Deep Keyphrase Generation. 521-536 - Elisabeth Lebmeier, Matthias Aßenmacher, Christian Heumann:
On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis. 537-552 - Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang:
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. 553-570 - Sara Abdali, Subhabrata Mukherjee, Evangelos E. Papalexakis:
Vec2Node: Self-Training with Tensor Augmentation for Text Classification with Few Labels. 571-587 - Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu:
"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation? 588-604 - Ya Gao, Shaoxiong Ji, Tongxuan Zhang, Prayag Tiwari, Pekka Marttinen:
Contextualized Graph Embeddings for Adverse Drug Event Detection. 605-620 - Junwei Zhang, Ruifang He, Fengyu Guo:
Bi-matching Mechanism to Combat Long-tail Senses of Word Sense Disambiguation. 621-637 - Pieter Delobelle, Bettina Berendt:
FairDistillation: Mitigating Stereotyping in Language Models. 638-654 - James O'Neill, Sourav Dutta, Haytham Assem:
Self-distilled Pruning of Deep Neural Networks. 655-670 - Jumanah Alshehri, Marija Stanojevic, Parisa Khan, Benjamin Rapp, Eduard C. Dragut, Zoran Obradovic:
MultiLayerET: A Unified Representation of Entities and Topics Using Multilayer Graphs. 671-687
Conversational Systems
- Jinhui Pang, Huinan Xu, Shuangyong Song, Bo Zou, Xiaodong He:
MFDG: A Multi-Factor Dialogue Graph Model for Dialogue Intent Classification. 691-706 - Jingjie Yi, Deqing Yang, Siyu Yuan, Kaiyan Cao, Zhiyao Zhang, Yanghua Xiao:
Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation. 707-723 - Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Yajing Sun:
Do You Know My Emotion? Emotion-Aware Strategy Recognition Towards a Persuasive Dialogue System. 724-739 - Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. 740-756
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