W1 – DataLit: 3rd International Workshop on Data Literacy
- One year of DALIDA Data Literacy Workshops for Adults: a Report
Christophe Debruyne, Laura Grehan, Mairéad Hurley, Anne Kearns and Ciarán O’Neill - Towards benchmarking data literacy
David Tarrant, Calum Inverarity, Emilie Forrest and Phil Greenwood - Towards digital economy through data literate workforce
Maja Miloradov, Slavko Rakic and Ugljesa Marjanovic
W2 – BeyondFacts: 2nd International Workshop on Knowledge Graphs for Online Discourse Analysis
- Geotagging TweetsCOV19: Enriching a COVID-19 Twitter Discourse Knowledge Base with Geographic Information (short paper)
Dimitar Dimitrov, Dennis Segeth and Stefan Dietze - Incorporating External Knowledge for Evidence-based Fact Verification
Anab Maulana Barik, Wynne Hsu and Mong Li Lee - Methodology to Compare Twitter Reaction Trends between Disinformation Communities, to COVID related Campaign Events at Different Geospatial Granularities
Debraj De, Gautam Thakur, Drahomira Herrmannova and Christopher Carter - Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection
Mehwish Alam, Andreea Iana, Alexander Grote, Katharina Ludwig, Philipp Müller and Heiko Paulheim - Towards Building Live Open Scientific Knowledge Graphs (short paper)
Anh Le-Tuan, Carlos Franzreb, Danh Le Phuoc, Sonja Schimmler and Manfred Hauswirth
W3 – CAAW: International Workshop on Cryptoasset Analytics Workshop
- Analysis of Arbitrary Content on Blockchain-Based Systems using BigQuery
Marcel Gregoriadis, Robert Muth and Martin Florian - Characterizing the OpenSea NFT Marketplace
Bryan White, Aniket Mahanti and Kalpdrum Passi - How much is the fork? Fast Probability and Profitability Calculation during Temporary Forks
Aljosha Judmayer, Nicholas Stifter, Philipp Schindler and Edgar Weippl
W4 – CLEOPATRA: 3rd International Workshop on Cross-lingual Event-centric Open Analytics
- Exploring Cross-Lingual Transfer to Counteract Data Scarcity for Causality Detection
Sebastian Reimann and Sara Stymne
W5 – COnSeNT: 2nd International Workshop on Consent Management in Online Services, Networks and Things
- A Policy-Oriented Architecture for Enforcing Consent in Solid
Laurens Debackere, Pieter Colpaert, Ruben Taelman and Ruben Verborgh - Conciseness, interest, and unexpectedness: user attitudes towards infographic and comic consent mediums
Xengie Doan, Annika Selzer, Arianna Rossi, Wilhelmina Maria Botes and Gabriele Lenzini - Internalization of privacy externalities through negotiation: Social costs of third-party web-analytic tools and the limits of the legal data protection framework
Nils Wehkamp
W6 – EMDC: 2nd International Workshop on the Efficiency of Modern Datacenters
- Efficient Streaming Analytics with Adaptive Near-data Processing (short paper)
Atul Sandur and Myeongjae Jeon - Optimizing Data Layout for Training Deep Neural Networks
Bingyao Li, Qi Xue, Geng Yuan, Sheng Li, Xiaolong Ma, Yanzhi Wang and Xulong Tang - Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing (short paper)
Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Shawn Bray, Chenchen Liu and Xiang Chen - Security Challenges for Modern Data Centers with IoT: A Preliminary Study
Zhen Zeng, Chun-Jen Chung and Liguang Xie
W7 – FinWeb: 2nd International Workshop on Financial Technology on the Web
- A Generative Approach for Financial Causality Extraction (short paper)
Tapas Nayak, Soumya Sharma, Yash Butala, Koustuv Dasgupta, Pawan Goyal and Niloy Ganguly - Detecting Regulation Violations for an Indian Regulatory body through multi label classification (short paper)
Ujwal Narayan, Pulkit Parikh, Kamalakar Karlapalem and Natraj Raman - FiNCAT: Financial Numeral Claim Analysis Tool (short paper)
Sohom Ghosh and Sudip Kumar Naskar - FinRED: A Dataset for Relation Extraction in Financial Domain (short paper)
Soumya Sharma, Tapas Nayak, Arusarka Bose, Ajay Kumar Meena, Koustuv Dasgupta, Niloy Ganguly and Pawan Goyal - Graph Representation Learning of Banking Transaction Network with Edge Weight-Enhanced Attention and Textual Information
Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji and Hitomi Sano - Improving Operation Efficieny through Predicting Credit Card Application Turnaround Time with Index-based Encoding (short paper)
Jing Xiang Toh, Xuejie Zhang, Kay Jan Wong, Samarth Agarwal and John Lu - Numeral Tense Detection Based on Chinese Financial News (short paper)
Yuxuan Liu, Maofu Liu and Mengjie Wu - Rayleigh Portfolios and Penalised Matrix Decomposition (short paper)
Francois Buet-Golfouse, Hans Roggeman and Islam Utyagulov - SEBI Regulation Biography (short paper)
Buggana Sathvik, Shivam Mangale, Deepti Saravanan, Shravya Kanchi, Ujwal Narayan, Lini T. Thomas, Kamalakar Karlapalem and Natraj Raman - TweetBoost: Influence of Social Media on NFT Valuation
Arnav Kapoor, Dipanwita Guhathakurta, Mehul Mathur, Rupanshu Yadav, Manish Gupta and Ponnurangam Kumaraguru - Understanding Financial Information Seeking Behavior from User Interactions with Company Filings
Mozhdeh Ariannezhad, Mohamed Yahya, Edgar Meij, Sebastian Schelter and Maarten de Rijke
W8 – GLB 2022: 2nd International Workshop on Graph Learning Benchmark
- A Content-First Benchmark for Self-Supervised Graph Representation Learning
Puja Trivedi, Mark Heimann, Ekdeep Singh Lubana, Danai Koutra and Jayaraman J. Thiagarajan - A Heterogeneous Graph Benchmark for Misinformation on Twitter
Dan Saattrup Nielsen and Ryan McConville - A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs
Charles Tapley Hoyt, Max Berrendorf, Mikhail Galkin, Volker Tresp and Benjamin M. Gyori - An Explainable AI Library for Benchmarking Graph Explainers
Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik - An Open Challenge for Inductive Link Prediction on Knowledge Graphs
Mikhail Galkin, Max Berrendorf and Charles Tapley Hoyt - Benchmarking Large-Scale Graph Training Over Effectiveness And Efficiency
Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Zhangyang Wang and Xia Hu - EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs
Sameera Horawalavithana, Ellyn Ayton, Anastasiya Usenko, Shivam Sharma, Jasmine Eshun, Robin Cosbey, Maria Glenski and Svitlana Volkova - Invited Talk by Tina Eliassi-Rad: The Why, How, and When of Representations for Complex Systems
- KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning
Yongqi Zhang, Zhanke Zhou, Quanming YAO and Yong Li - Robust Synthetic GNN Benchmarks with GraphWorld
John Palowitch, Anton Tsitsulin, Brandon Mayer and Bryan Perozzi - TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction
Min Zhou, Bisheng Li, Menglin Yang and Lujia Pan - What’s Wrong with Deep Learning in Tree Search for Combinatorial Optimization
Maximilian Bötther, Otto Kißig, Martin Taraz, Sarel Cohen, Karen Seidel and Tobias Friedrich
W10 – LocWeb: 12th International Workshop on Location and the Web
- Anonymous Hyperlocal Communities: What do they talk about?
Jens Helge Reelfs, Oliver Hohlfeld and Niklas Henckell - Exploiting Geodata to Improve Image Recognition with Deep Learning
Christian Arbinger, Martin Bullin and Andreas Henrich - Predicting Spatial Spreading on Social Media (short paper)
Rimjhim and Sourav Dandapat
W11 – MAISoN: 8th International Workshop on Mining Actionable Insights from Social Networks, Special Edition on Mental Health and Social Media
- “I’m always in so much pain and no one will understand” – Detecting Patterns in Suicidal Ideation on Reddit (short paper)
Michal Monselise and Christopher Yang - A large-scale temporal analysis of user lifespan durability on the Reddit social media platform
Amirhossein Nadiri and Frank Takes - Supporting People Receiving Substance Use Treatment During COVID-19 Through A Professional-Moderated Online Peer Support Group (short paper)
Ou Stella Liang, Christopher Yang, Anne Glenney, Richard Pointer, Sharlene Irving, Barbara Schindler and David Bennett - Utilizing Pattern Mining and Classification Algorithms to Identify Risk for Anxiety and Depression in the LGBTQ+ Community During the COVID-19 Pandemic
Josephine Bierbaum, Melissa Lynn and Louis Yu
W12 – MUWS ‘2022: 1st International Workshop on Multimodal Understanding for the Web and Social Media
- Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection
Diego Garcia-Olano, Yasumasa Onoe and Joydeep Ghosh - Leveraging Intra and Inter Modality Relationship for Multimodal Fake News Detection
Shivangi Singhal, Tanisha Pandey, Saksham Mrig, Rajiv Ratn Shah and Ponnurangam Kumaraguru - ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer
Kohei Uehara, Yusuke Mori, Yusuke Mukuta and Tatsuya Harada - Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization
Mesut Erhan Unal, Adriana Kovashka, Wen-Ting Chung and Yu-Ru Lin
W13 – Sci-K: 2nd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment
- A Study of Computational Reproducibility using URLs Linking to Open Access Datasets and Software (short paper)
Lamia Salsabil, Jian Wu, Muntabir Hasan Choudhury, William A. Ingram, Edward A. Fox, Sarah M. Rajtmajer and C. Lee Giles - Assessing Network Representations for Identifying Interdisciplinarity (short paper)
Eoghan Cunningham and Derek Greene - Beyond reproduction, experiments want to be understood (short paper)
Jérôme Euzenat - Data models for annotating biomedical scholarly publications: the case of CORD-19
Houcemeddine Turki, Mohamed Ali Hadj Taieb, Alejandro Piad-Morffis, Mohamed Ben Aouicha and René Fabrice Bile - Examining the ORKG towards Representation of Control Theoretic Knowledge – Preliminary Experiences and Conclusions
Carsten Knoll - GraphCite: Citation Intent Classification in Scientific Publications via Graph Embeddings (short paper)
Dan Berrebbi, Nicolas Huynh and Oana Balalau - Personal Research Knowledge Graphs (short paper)
Prantika Chakraborty, Sudakshina Dutta and Debarshi Kumar Sanyal - Quantifying the topic disparity of scientific articles (short paper)
Munjung Kim, Jisung Yoon, Woo-Sung Jung and Hyunuk Kim - SciNoBo: A Hierarchical Multi-Label Classifier of Scientific Publications
Nikola?s Gialitsis, Sotiris Kotitsas and Haris Papageorgiou - Semi-automated Literature Review for Scientific Assessment of Socioeconomic Climate Change Scenarios
Vanessa Schweizer, Jude Kurniawan and Aidan Power - Sequence-based extractive summarisation for Scientific Articles
Daniel Kershaw and Rob Koeling
W14 – SeBiLAn: International Workshop on Semantics-enabled Biomedical Literature Analytics
- Biomedical Word Sense Disambiguation with Contextualized Representation Learning (short paper)
Mozhgan Saeidi - Exploring Representations for Singular and Multi-Concept Relations for Biomedical Named Entity Normalization
Clint Cuffy, Evan French, Sophia Fehrmann and Bridget McInnes - Graph Convolutional Networks for Chemical Relation Extraction
Darshini Mahendran, Christina Tang and Bridget McInnes
W15 – SocialNLP: 10th International Workshop on Natural Language Processing for Social Media
- Hoaxes and Hidden agendas: A Twitter Conspiracy Theory Dataset (Data Paper) (short paper)
Samantha C. Phillips, Lynnette Hui Xian Ng and Kathleen M. Carley - Influence of Language Proficiency on the Readability of Review Text and Transformer-based Models for Determining Language Proficiency (short paper)
Salim Sazzed - KAHAN: Knowledge-Aware Hierarchical Attention Network for Fake News detection on Social Media
Yu-Wun Tseng, Hui-Kuo Yang, Wei-Yao Wang and Wen-Chih Peng - Making Adversarially-Trained Language Models Forget with Model Retraining: A Case Study on Hate Speech Detection
Marwan Omar and David Mohaisen - Measuring the Privacy Dimension of Free Content Websites through Automated Privacy Policy Analysis and Annotation
Abdulrahman Alabduljabbar and David Mohaisen - Multi-Context Based Neural Approach for COVID-19 Fake-News Detection (short paper)
Arkadipta De and Maunendra Sankar Desarkar
W16 – TempWeb: 12th International Workshop on Temporal Web Analytics
- A Bi-level assessment of Twitter data for election prediction: Delhi Assembly Elections 2020
Maneet Singh, S.R.S. Iyengar, Akrati Saxena and Rishemjit Kaur - Analytical Models for Motifs in Temporal Networks
Alexandra Porter, Baharan Mirzasoleiman and Jure Leskovec - Detection of Infectious Disease Outbreaks in Search Engine Time Series Using Non-Specific Syndromic Surveillance with Effect-Size Filtering
Oded Ovadia, Oren Elisha and Elad Yom-Tov - Multi-touch Attribution for complex B2B customer journeys using Temporal Convolutional Networks
Aniket Agrawal, Nikhil Sheoran, Sourav Suman and Gaurav Sinha - Semantic Modelling of Document Focus-time for Temporal Information Retrieval
Lirong Zhang, Hideo Joho and Hai-Tao Yu - Why Round Years are Special? Analyzing Time References in News Article Collections
Adam Jatowt, Antoine Doucet and Ricardo Campos
W17 – DLWoT: The 2nd International Workshop on Deep Learning for the Web of Things
- A Hand Over and Call Arrival Cellular Signals-based Traffic Density Estimation Method (short paper)
Yizhuo Zhang, Hao Fang and Chi-Hua Chen - A Spatio-Temporal Data-Driven Automatic Control Method for Smart Home Services
Jinrong Chen, Zheyi Chen, Longhai Zheng and Xing Chen - Discovering Top-k Profitable Paterns for Smart Manufacturing
Shicheng Wan, Jiahui Chen, Peifeng Zhang, Wensheng Gan and Tianlong Gu - Fast RFM Model for Customer Segmentation
Shicheng Wan, Jiahui Chen, Zhenlian Qi, Wensheng Gan and Linlin Tang - Fraship: A Framework to Support End-User Personalization of Smart Home Services with Runtime Knowledge Graph
Liwei Shen, Zhiming Huang and Xing Chen - MI-GCN: Node Mutual Information-based Graph Convolutional Network
Lei Tian and Huaming Wu - Mining with Rarity for Web Intelligence
Yijie Gui, Wensheng Gan, Yao Chen and Yongdong Wu - Word Embedding based Heterogeneous Entity Matching on Web of Things
Xingsi Xue and Jianhua Guo
W18 – GraphLearning: The First International Workshop on Graph Learning
- A Triangle Framework Among Subgraph Isomorphism, pharmacophore and structure-function relationship (short paper)
Mengjiao Guo, Hui Zheng, Tengfei Ji and Jing He - CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation
Matin Yousefabadi, Yassaman Ommi, Faezeh Faez, Amirmojtaba Sabour, Mahdieh Soleymani Baghshah and Hamid R. Rabiee - Deep Partial Multiplex Network Embedding
Qifan Wang, Yi Fang, Ruining He, Anirudh Ravula, Bin Shen, Jingang Wang, Xiaojun Quan and Dongfang Liu - Graph Augmentation Learning
Shuo Yu, Huafei Huang, Minh Dao and Feng Xia - Improving Bundles Recommendation Coverage in Sparse Product Graphs
Saloni Agarwal, Aparupa Das Gupta and Amit Pande - JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning
Selahattin Akkas and Ariful Azad - MarkovGNN: Graph Neural Networks on Markov Diffusion
Md. Khaledur Rahman, Abhigya Agrawal and Ariful Azad - Mining Homophilic Groups of Users using Edge Attributed Node Embedding from Enterprise Social Networks
Priyanka Sinha, Ritu Patel, Pabitra Mitra, Dilys Thomas and Lipika Dey - Mining Multivariate Implicit Relationships in Academic Networks
Bo Xu, Bowen Chen, Tianyu Zhang, Jiaying Liu, Chunke Liao and Zhehuan Zhao - Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services
Fan Zhang, Qiuying Peng, Yulin Wu, Zheng Pan, Rong Zeng, Da Lin and Yue Qi - Multi-view Omics Translation with Multiplex Graph Neural Networks
Costa Georgantas and Jonas Richiardi - RePS: Relation, Position and Structure aware Entity Alignment
Anil Surisetty, Deepak Chaurasiya, Nitish Kumar, Alok Singh, Gaurav Dhama, Aakarsh Malhotra, Vikrant Dey and Ankur Arora - Revisiting Neighborhood-based Link Prediction for Collaborative Filtering
Hao-Ming Fu, Patrick Poirson, Kwot Sin Lee and Chen Wang - Scaling R-GCN Training with Graph Summarization
Alessandro Generale, Till Blume and Michael Cochez - SchemaWalk: Schema Aware Random Walks for Heterogeneous Graph Embedding
Ahmed E. Samy, Lodovico Giaretta, Zekarias T. Kefato and Sarunas Girdzijauskas - Surj: Ontological Learning for Fast, Accurate, and Robust Hierarchical Multi-label Classification
Sean Yang and Bill Howe - Understanding Dropout for Graph Neural Networks
Juan Shu, Bowei Xi, Yu Li, Fan Wu, Charles Kamhoua and Jianzhu Ma - Unsupervised Superpixel-Driven Parcel Segmentation of Remote Sensing Images Using Graph Convolutional Network
Fulin Huang, Zhicheng Yang, Hang Zhou, Chen Du, Andy J.Y. Wong, Yuchuan Gou, Mei Han and Jui-Hsin Lai
W19 – UserNLP: International Workshop on User-centered Natural Language Processing
- A decision model for designing NLP applications (short paper)
Eason Chen, Yuen-Hsien Tseng and None None - Concept Annotation from Users Perspective: a New Challenge
Souvika Sarkar and Shubhra Kanti Karmaker - Detecting Addiction, Anxiety, and Depression by Users Psychometric Profiles
Anna Monreale, Benedetta Iavarone, Elena Rossetto and Andrea Beretta - Do Not Read the Same News! Enhancing Diversity and Personalization of News Recommendation (short paper)
Seonghwan Choi, Hyeondey Kim and Manjun Gim - Expressing Metaphorically, Writing Creatively: Metaphor Identification for Creativity Assessment in Writing
Dongyu Zhang, Minghao Zhang, Ciyuan Peng and Feng Xia
W21 – WebAndTheCity: 8th International Workshop on Web and Smart Cities
- A framework to enhance smart citizenship in coastal areas (short paper)
Maria Papoutsoglou, Konstantinos Markakis, Georgia Kapitsaki, Kostas Magoutis, Loukas Hadjivasilis, Leonidas Katelaris and Chryssoula Bekiari - A Human-Centered Design Approach for the Development of a Digital Care Platform in a Smart City Environment
Jelena Bleja, Sara Neumann, Tim Krueger and Uwe Großmann - Citizens as Developers and Consumers of Smart City Services: A Drone Tour Guide Case
Christian Muck, Alexander Voelz, Danial Amlashi and Dimitris Karagiannis - Enhancing crowd flow prediction in various spatial and temporal granularities
Marco Cardia, Massimiliano Luca and Luca Pappalardo - Human centric design in smartcity technologies
Rob Christiaanse - Multi-tenancy in Smart City Platforms (short paper)
Ioannis Nikolaou and Leonidas Anthopoulos - Sensor Network Design for Uniquely Identifying Sources of Contamination in Water Distribution Networks
Kaustav Basu and Arun Sen
W22 – Wiki: 9th International Wiki Workshop
- A Map of Science in Wikipedia
Puyu Yang and Giovanni Colavizza - Anchor Prediction: A Topic Modeling Approach
Jean Dupuy, Adrien Guille and Julien Jacques - Are Democratic User Groups More Inclusive?
Anass Sedrati and Reda Benkhadra - Building a Public Domain Voice Database for Odia
Subhashish Panigrahi - Going down the Wikipedia Rabbit Hole: Characterizing the Long Tail of Reading Sessions
Tiziano Piccardi, Martin Gerlach and Robert West - Improving Linguistic Bias Detection in Wikipedia using Cross-Domain Adaptive Pre-Training
Karthic Madanagopal and James Caverlee - Offline Meetups of German Wikipedians: Boosting or braking activity?
Nicole Schwitter - Rows from Many Sources: How to enrich row completions from Wikidata with a pre-trained Language Model
Carina Negreanu, Alperen Karaoglu, Jack Williams, Shuang Chen, Daniel Fabian, Andrew Gordon and Chin-Yew Lin - The gender perspective in Wikipedia: A content and participation challenge (short paper)
Núria Ferran-Ferrer, Marc Miquel-Ribé, Julio Meneses and Julià Minguillón - The role of online attention in the supply of disinformation in Wikipedia
Anis Elebiary and Giovanni Luca Ciampaglia