Abstract is missing.
- Network Design Through Graph Neural Networks: Identifying Challenges and Improving PerformanceDonald Loveland, Rajmonda Caceres. 3-15 [doi]
- Sparse Graph Neural Networks with Scikit-NetworkSimon Delarue, Thomas Bonald. 16-24 [doi]
- Enhancing Time Series Analysis with GNN Graph Classification ModelsAlex Romanova. 25-36 [doi]
- When Do We Need Graph Neural Networks for Node Classification?Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup. 37-48 [doi]
- Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural NetworksSitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup. 49-60 [doi]
- E-MIGAN: Tackling Cold-Start Challenges in Recommender SystemsAhlem Drif, Hocine Cherifi. 61-73 [doi]
- Heterophily-Based Graph Neural Network for Imbalanced ClassificationZirui Liang, Yuntao Li, Tianjin Huang, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy. 74-86 [doi]
- TimeGNN: Temporal Dynamic Graph Learning for Time Series ForecastingNancy Xu, Chrysoula Kosma, Michalis Vazirgiannis. 87-99 [doi]
- UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural NetworksSofiane Ennadir, Amr Alkhatib, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström. 100-111 [doi]
- Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community DetectionWilliam Leeney, Ryan McConville. 112-123 [doi]
- Stochastic Degree Sequence Model with Edge Constraints (SDSM-EC) for Backbone ExtractionZachary P. Neal, Jennifer Watling Neal. 127-136 [doi]
- Minority Representation and Relative Ranking in Sampling Attributed NetworksNelson Antunes, Sayan Banerjee, Shankar Bhamidi, Vladas Pipiras. 137-149 [doi]
- A Framework for Empirically Evaluating Pretrained Link Prediction ModelsEmilio Sánchez Olivares, Hanjo D. Boekhout, Akrati Saxena, Frank W. Takes. 150-161 [doi]
- Masking Language Model Mechanism with Event-Driven Knowledge Graphs for Temporal Relations Extraction from Clinical NarrativesKanimozhi Uma, Sumam Francis, Marie-Francine Moens. 162-174 [doi]
- Efficient Approach for Patient Monitoring: ML-Enabled Framework with Smart Connected SystemsG. Dheepak. 177-188 [doi]
- Economic and Health Burdens of HIV and COVID-19: Insights from a Survey of Underserved Communities in Semi-Urban and Rural IllinoisJohn Matta, Koushik Sinha, Cameron Woodard, Zachary Sappington, John Philbrick. 189-201 [doi]
- Untangling Emotional Threads: Hallucination Networks of Large Language ModelsMahsa Goodarzi, Radhakrishnan Venkatakrishnan, M. Abdullah Canbaz. 202-214 [doi]
- Analyzing Trendy Twitter Hashtags in the 2022 French ElectionAamir Mandviwalla, Lake Yin, Boleslaw K. Szymanski. 215-224 [doi]
- Rewiring Networks for Graph Neural Network Training Using Discrete GeometryJakub Bober, Anthea Monod, Emil Saucan, Kevin N. Webster. 225-236 [doi]
- Rigid Clusters, Flexible NetworksGail Gilboa-Freedman. 237-249 [doi]
- Beyond Following: Augmenting Bot Detection with the Integration of Behavioral PatternsSebastian Reiche, Sarel Cohen, Kirill Simonov, Tobias Friedrich 0001. 250-259 [doi]
- Graph Completion Through Local Pattern GeneralizationZhang Zhang, Ruyi Tao, Yongzai Tao, Mingze Qi, Jiang Zhang. 260-271 [doi]
- A Consistent Diffusion-Based Algorithm for Semi-Supervised Graph LearningThomas Bonald, Nathan de Lara. 272-282 [doi]
- Leveraging the Power of Signatures for the Construction of Topological Complexes for the Analysis of Multivariate Complex DynamicsStéphane Chrétien, Ben Gao, Astrid Thébault Guiochon, Rémi Vaucher. 283-294 [doi]
- Empirical Study of Graph Spectra and Their LimitationsPierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn. 295-307 [doi]
- FakEDAMR: Fake News Detection Using Abstract Meaning Representation NetworkShubham Gupta, Narendra Yadav, Suman Kundu, Sainathreddy Sankepally. 308-319 [doi]
- Visual Mesh Quality Assessment Using Weighted Network RepresentationMohammed El Hassouni, Hocine Cherifi. 320-330 [doi]
- Multi-class Classification Performance Improvements Through High Sparsity StrategiesLucia Cavallaro, Tommaso Serafin, Antonio Liotta. 331-338 [doi]
- Learned Approximate Distance Labels for GraphsIkeoluwa Abioye, Allison Gunby-Mann, Xu Wang, Sarel Cohen, Peter Chin 0001. 339-350 [doi]
- Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur ContentMert Can Cakmak, Obianuju Okeke, Ugochukwu Onyepunuka, Billy Spann, Nitin Agarwal. 351-362 [doi]
- Improving Low-Latency Mono-Channel Speech Enhancement by Compensation Windows in STFT AnalysisMinh N. Bui, Dung N. Tran, Kazuhito Koishida, Trac D. Tran, Peter Chin 0001. 363-373 [doi]
- Filtering Communities in Word Co-Occurrence Networks to Foster the Emergence of MeaningAnna Béranger, Nicolas Dugué, Simon Guillot, Thibault Prouteau. 377-388 [doi]
- DFI-DGCF: A Graph-Based Recommendation Approach for Drug-Food InteractionsSofia Bourhim. 389-399 [doi]
- L2G2G: A Scalable Local-to-Global Network Embedding with Graph AutoencodersRuikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert. 400-412 [doi]
- A Comparative Study of Knowledge Graph-to-Text Generation Architectures in the Context of Conversational AgentsHussam Ghanem, Christophe Cruz. 413-426 [doi]
- Network Embedding Based on DepDist ContractionEmanuel Dopater, Eliska Ochodkova, Milos Kudelka. 427-439 [doi]
- Evaluating Network Embeddings Through the Lens of Community StructureJason Barbour, Stephany Rajeh, Sara Najem, Hocine Cherifi. 440-451 [doi]
- Deep Distance Sensitivity OraclesDavin Jeong, Allison Gunby-Mann, Sarel Cohen, Maximilian Katzmann, Chau Pham 0001, Arnav Bhakta, Tobias Friedrich 0001, Peter Chin 0001. 452-463 [doi]