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ORCID12th COMPLEX NETWORKS 2023: Menton, France
- Hocine Cherifi
, Luis M. Rocha, Chantal Cherifi, Murat Donduran:
Complex Networks & Their Applications XII - Proceedings of The Twelfth International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2023, Menton, France, 28-30 November, 2023, Volume 1. Studies in Computational Intelligence 1141, Springer 2024, ISBN 978-3-031-53467-6
Graph Neural Networks
- Donald Loveland, Rajmonda Caceres:
Network Design Through Graph Neural Networks: Identifying Challenges and Improving Performance. 3-15 - Simon Delarue, Thomas Bonald:
Sparse Graph Neural Networks with Scikit-Network. 16-24 - Alex Romanova:
Enhancing Time Series Analysis with GNN Graph Classification Models. 25-36 - Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup:
When Do We Need Graph Neural Networks for Node Classification? 37-48 - Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup:
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. 49-60 - Ahlem Drif, Hocine Cherifi:
E-MIGAN: Tackling Cold-Start Challenges in Recommender Systems. 61-73 - Zirui Liang, Yuntao Li, Tianjin Huang, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy:
Heterophily-Based Graph Neural Network for Imbalanced Classification. 74-86 - Nancy Xu, Chrysoula Kosma, Michalis Vazirgiannis:
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting. 87-99 - Sofiane Ennadir, Amr Alkhatib, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström:
UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks. 100-111 - William Leeney, Ryan McConville:
Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection. 112-123
Link Analysis and Ranking
- Zachary P. Neal, Jennifer Watling Neal:
Stochastic Degree Sequence Model with Edge Constraints (SDSM-EC) for Backbone Extraction. 127-136 - Nelson Antunes, Sayan Banerjee, Shankar Bhamidi, Vladas Pipiras:
Minority Representation and Relative Ranking in Sampling Attributed Networks. 137-149 - Emilio Sánchez Olivares, Hanjo D. Boekhout, Akrati Saxena, Frank W. Takes:
A Framework for Empirically Evaluating Pretrained Link Prediction Models. 150-161 - Kanimozhi Uma, Sumam Francis, Marie-Francine Moens:
Masking Language Model Mechanism with Event-Driven Knowledge Graphs for Temporal Relations Extraction from Clinical Narratives. 162-174
Machine Learning and Networks
- G. Dheepak:
Efficient Approach for Patient Monitoring: ML-Enabled Framework with Smart Connected Systems. 177-188 - John Matta, Koushik Sinha, Cameron Woodard, Zachary Sappington, John Philbrick:
Economic and Health Burdens of HIV and COVID-19: Insights from a Survey of Underserved Communities in Semi-Urban and Rural Illinois. 189-201 - Mahsa Goodarzi, Radhakrishnan Venkatakrishnan, M. Abdullah Canbaz:
Untangling Emotional Threads: Hallucination Networks of Large Language Models. 202-214 - Aamir Mandviwalla, Lake Yin, Boleslaw K. Szymanski:
Analyzing Trendy Twitter Hashtags in the 2022 French Election. 215-224 - Jakub Bober, Anthea Monod, Emil Saucan, Kevin N. Webster:
Rewiring Networks for Graph Neural Network Training Using Discrete Geometry. 225-236 - Gail Gilboa-Freedman:
Rigid Clusters, Flexible Networks. 237-249 - Sebastian Reiche, Sarel Cohen, Kirill Simonov, Tobias Friedrich:
Beyond Following: Augmenting Bot Detection with the Integration of Behavioral Patterns. 250-259 - Zhang Zhang, Ruyi Tao, Yongzai Tao, Mingze Qi, Jiang Zhang:
Graph Completion Through Local Pattern Generalization. 260-271 - Thomas Bonald, Nathan de Lara:
A Consistent Diffusion-Based Algorithm for Semi-Supervised Graph Learning. 272-282 - Stéphane Chrétien, Ben Gao, Astrid Thébault Guiochon, Rémi Vaucher:
Leveraging the Power of Signatures for the Construction of Topological Complexes for the Analysis of Multivariate Complex Dynamics. 283-294 - Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn:
Empirical Study of Graph Spectra and Their Limitations. 295-307 - Shubham Gupta, Narendra Yadav, Suman Kundu, Sainathreddy Sankepally:
FakEDAMR: Fake News Detection Using Abstract Meaning Representation Network. 308-319 - Mohammed El Hassouni, Hocine Cherifi:
Visual Mesh Quality Assessment Using Weighted Network Representation. 320-330 - Lucia Cavallaro, Tommaso Serafin, Antonio Liotta:
Multi-class Classification Performance Improvements Through High Sparsity Strategies. 331-338 - Ikeoluwa Abioye, Allison Gunby-Mann, Xu Wang, Sarel Cohen, Peter Chin:
Learned Approximate Distance Labels for Graphs. 339-350 - Mert Can Cakmak, Obianuju Okeke, Ugochukwu Onyepunuka, Billy Spann, Nitin Agarwal:
Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content. 351-362 - Minh N. Bui, Dung N. Tran, Kazuhito Koishida, Trac D. Tran, Peter Chin:
Improving Low-Latency Mono-Channel Speech Enhancement by Compensation Windows in STFT Analysis. 363-373
Network Embedding
- Anna Béranger, Nicolas Dugué, Simon Guillot, Thibault Prouteau:
Filtering Communities in Word Co-Occurrence Networks to Foster the Emergence of Meaning. 377-388 - Sofia Bourhim:
DFI-DGCF: A Graph-Based Recommendation Approach for Drug-Food Interactions. 389-399 - Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert:
L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders. 400-412 - Hussam Ghanem, Christophe Cruz:
A Comparative Study of Knowledge Graph-to-Text Generation Architectures in the Context of Conversational Agents. 413-426 - Emanuel Dopater, Eliska Ochodkova, Milos Kudelka:
Network Embedding Based on DepDist Contraction. 427-439 - Jason Barbour, Stephany Rajeh, Sara Najem, Hocine Cherifi:
Evaluating Network Embeddings Through the Lens of Community Structure. 440-451 - Davin Jeong, Allison Gunby-Mann, Sarel Cohen, Maximilian Katzmann, Chau Pham, Arnav Bhakta, Tobias Friedrich, Peter Chin:
Deep Distance Sensitivity Oracles. 452-463
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