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Merge pull request #1 from NGMLGroup/blog
Add blog
2 parents dcecc97 + cf5c289 commit 16e4711

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-258
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.gitignore

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_site/
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Gemfile.lock
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**.DS_Store

Gemfile

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@@ -16,6 +16,7 @@ gem "minima", "~> 2.5"
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# If you have any plugins, put them here!
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group :jekyll_plugins do
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gem "jekyll-feed", "~> 0.12"
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gem "jekyll-paginate", "~> 1.1"
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end
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# Windows and JRuby does not include zoneinfo files, so bundle the tzinfo-data gem

Gemfile.lock

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_config.yml

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theme: minima
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plugins:
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# - jekyll-feed
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- jekyll-feed
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- jekyll-seo-tag
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- jekyll-paginate
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# Theme-specific settings
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header_pages:
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- people.html
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- publications.html
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- blog.html
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- theses.md
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- news.md
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show_excerpts: true
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# display posts with dates in the future
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future: true
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future: true
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# Pagination settings
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paginate: 5
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paginate_path: "/blog/page:num/"

_layouts/home.html

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{{ post.title | escape }}
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</a>
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</h3>
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{%- if site.show_excerpts -%}
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{%- if site.minima.show_excerpts -%}
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{{ post.excerpt }}
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{%- endif -%}
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</li>
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<div class="pager">
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<ul class="pagination">
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{%- if paginator.previous_page %}
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<li><a href="{{ paginator.previous_page_path | relative_url }}" class="previous-page">{{ paginator.previous_page }}</a></li>
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<li>
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<a href="{{ paginator.previous_page_path | relative_url }}" class="previous-page" title="Go to Page {{ paginator.previous_page }}">
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{{ paginator.previous_page }}
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</a>
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</li>
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{%- else %}
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<li><div class="pager-edge"></div></li>
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{%- endif %}
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<li><div class="current-page">{{ paginator.page }}</div></li>
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{%- if paginator.next_page %}
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<li><a href="{{ paginator.next_page_path | relative_url }}" class="next-page">{{ paginator.next_page }}</a></li>
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<li>
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<a href="{{ paginator.next_page_path | relative_url }}" class="next-page" title="Go to Page {{ paginator.next_page }}">
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{{ paginator.next_page }}
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</a>
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</li>
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{%- else %}
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<li><div class="pager-edge"></div></li>
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{%- endif %}
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</ul>
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</div>
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{%- endif %}
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{%- endif -%}
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</div>
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</div>

_layouts/post.html

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<header class="post-header">
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<h1 class="post-title p-name" itemprop="name headline">{{ page.title | escape }}</h1>
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<p class="post-meta">
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<div class="post-meta">
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{%- assign date_format = site.minima.date_format | default: "%b %-d, %Y" -%}
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<time class="dt-published" datetime="{{ page.date | date_to_xmlschema }}" itemprop="datePublished">
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{{ page.date | date: date_format }}
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{% assign pdate = page.date | date_to_xmlschema %}
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{%- if page.modified_date %}<span class="meta-label">Published:</span>{% endif %}
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<time class="dt-published" datetime="{{ pdate }}" itemprop="datePublished">
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{{ pdate | date: date_format }}
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</time>
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{%- if page.modified_date -%}
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~
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{%- assign mdate = page.modified_date | date_to_xmlschema -%}
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<span class="bullet-divider"></span>
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<span class="meta-label">Updated:</span>
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{%- assign mdate = page.modified_date | date_to_xmlschema %}
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<time class="dt-modified" datetime="{{ mdate }}" itemprop="dateModified">
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{{ mdate | date: date_format }}
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</time>
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{%- endif -%}
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{%- if page.author -%}
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• {% for author in page.author %}
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{%- if page.author %}
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<div class="{% unless page.modified_date %}force-inline {% endunless %}post-authors">
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{%- for author in page.author %}
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<span itemprop="author" itemscope itemtype="http://schema.org/Person">
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<span class="p-author h-card" itemprop="name">{{ author }}</span></span>
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{%- if forloop.last == false %}, {% endif -%}
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{%- if forloop.last == false %}, {% endif -%}
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{% endfor %}
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{%- endif -%}</p>
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</div>
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{%- endif %}
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</div>
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</header>
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<div class="post-content e-content" itemprop="articleBody">
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{{ content }}
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</div>
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{%- if site.disqus.shortname -%}
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{%- include disqus_comments.html -%}
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{%- endif -%}
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{% if jekyll.environment == 'production' -%}
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{% if page.comments == false -%}
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<div class="comments-disabled-message">
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Comments have been disabled for this post.
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</div>
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{% else -%}
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{%- include comments.html -%}
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{% endif -%}
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{% endif -%}
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<a class="u-url" href="{{ page.url | relative_url }}" hidden></a>
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</article>
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</article>
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---
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layout: post
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title: "Welcome to Our Research Blog"
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date: 2025-10-03 10:00:00 +0100
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author: NGMLGroup
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excerpt: "Welcome to the Northernmost Graph Machine Learning Group's research blog! Here we share insights, breakthroughs, and stories behind our cutting-edge research in graph neural networks and machine learning."
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---
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Welcome to the **Northernmost Graph Machine Learning Group**'s research blog!
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Based at the [UiT the Arctic University of Norway](https://en.uit.no/) in Tromsø, our group activity is dedicated to basic research in machine learning.
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We also apply our research to a variety of domains, including energy analytics and climate science.
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We're excited to launch this blog as a platform to share our journey, insights, and breakthroughs with the broader community.
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Alongside the formal presentation in our papers, we aim to complement it here with a format that’s more relaxed, visual, and hands-on. In addition, we plan to publish tutorials that guide readers through key methods and concepts that we use in our work, making it more approachable to both researchers and practitioners.
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## Our Research Focus
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Our work spans several exciting areas:
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- 🎱 **Graph Pooling**: Techniques for down-sampling graph structures while preserving important information ([library](https://torch-geometric-pool.readthedocs.io/en/latest/), [AB25](https://arxiv.org/pdf/2409.05100?), [CB25](https://arxiv.org/abs/2501.09821), [GZB+22](https://arxiv.org/pdf/2110.05292));
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- 📊 **Spatiotemporal modeling**: Using graphs to model complex temporal dependencies ([HCB25](https://openreview.net/forum?id=MHQXfiXsr3), [MAB24](https://arxiv.org/pdf/2402.10634), [CMB+23](https://ojs.aaai.org/index.php/AAAI/article/view/25880));
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- 🎯 **Uncertainty Quantification**: Assessing and mitigating uncertainty in forecasting in both structured and unstructured data domains ([NCB+25](https://arxiv.org/abs/2510.05060), [CJM+25](https://arxiv.org/pdf/2502.09443), [GSB23](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10360823));
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- 🔬 **Interpretability**: Making spatiotemporal models more transparent and trustworthy ([GSB24](https://arxiv.org/pdf/2410.13469), [GSS+23](https://arxiv.org/pdf/2209.07926));
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-**Scalability**: Breaking barriers to handle massive real-world datasets ([NCB+25](https://arxiv.org/abs/2510.05060), [CMB+23](https://ojs.aaai.org/index.php/AAAI/article/view/25880)).
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## What You'll Find Here
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In this blog, we'll be sharing:
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- **Research insights** from our latest publications;
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- **Educational content** to make complex concepts accessible;
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- **Practical applications** of graph neural networks;
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- **Updates** on our group activities, collaborations and events.
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- **Behind the scenes** looks at our research process and team dynamics.
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---
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*Stay tuned for our upcoming posts, where we'll dive deep into our latest research.*
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**The NGMLGroup Team**
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*Northernmost Graph Machine Learning Group*
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*UiT the Arctic University of Norway*

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