several modifications, added publications

Author: FilippoMB

Gemfile

@@ -0,0 +1,33 @@
+source "https://rubygems.org"
+# Hello! This is where you manage which Jekyll version is used to run.
+# When you want to use a different version, change it below, save the
+# file and run `bundle install`. Run Jekyll with `bundle exec`, like so:
+#
+#     bundle exec jekyll serve
+#
+# This will help ensure the proper Jekyll version is running.
+# Happy Jekylling!
+gem "jekyll", "~> 4.3.1"
+# This is the default theme for new Jekyll sites. You may change this to anything you like.
+gem "minima", "~> 2.5"
+# If you want to use GitHub Pages, remove the "gem "jekyll"" above and
+# uncomment the line below. To upgrade, run `bundle update github-pages`.
+# gem "github-pages", group: :jekyll_plugins
+# If you have any plugins, put them here!
+group :jekyll_plugins do
+  gem "jekyll-feed", "~> 0.12"
+end
+
+# Windows and JRuby does not include zoneinfo files, so bundle the tzinfo-data gem
+# and associated library.
+platforms :mingw, :x64_mingw, :mswin, :jruby do
+  gem "tzinfo", ">= 1", "< 3"
+  gem "tzinfo-data"
+end
+
+# Performance-booster for watching directories on Windows
+gem "wdm", "~> 0.1.1", :platforms => [:mingw, :x64_mingw, :mswin]
+
+# Lock `http_parser.rb` gem to `v0.6.x` on JRuby builds since newer versions of the gem
+# do not have a Java counterpart.
+gem "http_parser.rb", "~> 0.6.0", :platforms => [:jruby]

Gemfile.lock

@@ -0,0 +1,182 @@
+GEM
+  remote: https://rubygems.org/
+  specs:
+    addressable (2.8.7)
+      public_suffix (>= 2.0.2, < 7.0)
+    bigdecimal (3.1.8)
+    colorator (1.1.0)
+    concurrent-ruby (1.3.4)
+    em-websocket (0.5.3)
+      eventmachine (>= 0.12.9)
+      http_parser.rb (~> 0)
+    eventmachine (1.2.7)
+    ffi (1.17.0)
+    ffi (1.17.0-aarch64-linux-gnu)
+    ffi (1.17.0-aarch64-linux-musl)
+    ffi (1.17.0-arm-linux-gnu)
+    ffi (1.17.0-arm-linux-musl)
+    ffi (1.17.0-arm64-darwin)
+    ffi (1.17.0-x86-linux-gnu)
+    ffi (1.17.0-x86-linux-musl)
+    ffi (1.17.0-x86_64-darwin)
+    ffi (1.17.0-x86_64-linux-gnu)
+    ffi (1.17.0-x86_64-linux-musl)
+    forwardable-extended (2.6.0)
+    google-protobuf (4.28.2)
+      bigdecimal
+      rake (>= 13)
+    google-protobuf (4.28.2-aarch64-linux)
+      bigdecimal
+      rake (>= 13)
+    google-protobuf (4.28.2-arm64-darwin)
+      bigdecimal
+      rake (>= 13)
+    google-protobuf (4.28.2-x86-linux)
+      bigdecimal
+      rake (>= 13)
+    google-protobuf (4.28.2-x86_64-darwin)
+      bigdecimal
+      rake (>= 13)
+    google-protobuf (4.28.2-x86_64-linux)
+      bigdecimal
+      rake (>= 13)
+    http_parser.rb (0.8.0)
+    i18n (1.14.6)
+      concurrent-ruby (~> 1.0)
+    jekyll (4.3.4)
+      addressable (~> 2.4)
+      colorator (~> 1.0)
+      em-websocket (~> 0.5)
+      i18n (~> 1.0)
+      jekyll-sass-converter (>= 2.0, < 4.0)
+      jekyll-watch (~> 2.0)
+      kramdown (~> 2.3, >= 2.3.1)
+      kramdown-parser-gfm (~> 1.0)
+      liquid (~> 4.0)
+      mercenary (>= 0.3.6, < 0.5)
+      pathutil (~> 0.9)
+      rouge (>= 3.0, < 5.0)
+      safe_yaml (~> 1.0)
+      terminal-table (>= 1.8, < 4.0)
+      webrick (~> 1.7)
+    jekyll-feed (0.17.0)
+      jekyll (>= 3.7, < 5.0)
+    jekyll-sass-converter (3.0.0)
+      sass-embedded (~> 1.54)
+    jekyll-seo-tag (2.8.0)
+      jekyll (>= 3.8, < 5.0)
+    jekyll-watch (2.2.1)
+      listen (~> 3.0)
+    kramdown (2.4.0)
+      rexml
+    kramdown-parser-gfm (1.1.0)
+      kramdown (~> 2.0)
+    liquid (4.0.4)
+    listen (3.9.0)
+      rb-fsevent (~> 0.10, >= 0.10.3)
+      rb-inotify (~> 0.9, >= 0.9.10)
+    mercenary (0.4.0)
+    minima (2.5.2)
+      jekyll (>= 3.5, < 5.0)
+      jekyll-feed (~> 0.9)
+      jekyll-seo-tag (~> 2.1)
+    pathutil (0.16.2)
+      forwardable-extended (~> 2.6)
+    public_suffix (6.0.1)
+    rake (13.2.1)
+    rb-fsevent (0.11.2)
+    rb-inotify (0.11.1)
+      ffi (~> 1.0)
+    rexml (3.3.8)
+    rouge (4.4.0)
+    safe_yaml (1.0.5)
+    sass-embedded (1.79.5)
+      google-protobuf (~> 4.27)
+      rake (>= 13)
+    sass-embedded (1.79.5-aarch64-linux-android)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-aarch64-linux-gnu)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-aarch64-linux-musl)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-aarch64-mingw-ucrt)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-arm-linux-androideabi)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-arm-linux-gnueabihf)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-arm-linux-musleabihf)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-arm64-darwin)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-riscv64-linux-android)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-riscv64-linux-gnu)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-riscv64-linux-musl)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-x86-cygwin)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-x86-linux-android)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-x86-linux-gnu)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-x86-linux-musl)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-x86-mingw-ucrt)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-x86_64-cygwin)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-x86_64-darwin)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-x86_64-linux-android)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-x86_64-linux-gnu)
+      google-protobuf (~> 4.27)
+    sass-embedded (1.79.5-x86_64-linux-musl)
+      google-protobuf (~> 4.27)
+    terminal-table (3.0.2)
+      unicode-display_width (>= 1.1.1, < 3)
+    unicode-display_width (2.6.0)
+    webrick (1.8.2)
+
+PLATFORMS
+  aarch64-linux
+  aarch64-linux-android
+  aarch64-linux-gnu
+  aarch64-linux-musl
+  aarch64-mingw-ucrt
+  arm-linux-androideabi
+  arm-linux-gnu
+  arm-linux-gnueabihf
+  arm-linux-musl
+  arm-linux-musleabihf
+  arm64-darwin
+  riscv64-linux-android
+  riscv64-linux-gnu
+  riscv64-linux-musl
+  ruby
+  x86-cygwin
+  x86-linux
+  x86-linux-android
+  x86-linux-gnu
+  x86-linux-musl
+  x86-mingw-ucrt
+  x86_64-cygwin
+  x86_64-darwin
+  x86_64-linux
+  x86_64-linux-android
+  x86_64-linux-gnu
+  x86_64-linux-musl
+
+DEPENDENCIES
+  http_parser.rb (~> 0.6.0)
+  jekyll (~> 4.3.1)
+  jekyll-feed (~> 0.12)
+  minima (~> 2.5)
+  tzinfo (>= 1, < 3)
+  tzinfo-data
+  wdm (~> 0.1.1)
+
+BUNDLED WITH
+   2.5.16

_config.yml

@@ -7,14 +7,13 @@ logo: figs/NGMLGlogo.png
 # The `>` after `description:` means to ignore line-breaks until next key.
 # If you want to omit the line-break after the end of text, use `>-` instead.
 description: >
-  The Northermost GraphML group in the world, based in Tromsø, Norway. Graph machine learning, Graph data analysis,
-  graph signal processing, network science, graph theory, graph visualization and other graph-related themes.
+  The Northermost GraphML group in the world, based in Tromsø, Norway.
 # Build settings
 
 theme: minima
 
 plugins:
-  - jekyll-feed
+#   - jekyll-feed
   - jekyll-seo-tag
 
 # Theme-specific settings
@@ -50,9 +49,8 @@ minima:
 header_pages:
   - news.md
   - people.html
-  - publications
-  - studentprojects.md
-  
+  - publications.html
+  - theses.md
 
 collections:
   events:
@@ -64,7 +62,7 @@ collections:
 
 # Set to `true` to show excerpts on the homepage.
 #
-# show_excerpts: false
+show_excerpts: true
 
 # display posts with dates in the future
 future: true

_data/people.yml

@@ -6,19 +6,22 @@ faculty:
     scholar: "https://scholar.google.ca/citations?user=yb7cT1MAAAAJ&hl=en"
     twitter: "https://x.com/FilippoMariaBi1"
     linkedin: "https://www.linkedin.com/in/filippo-maria-bianchi/"
+    github: "https://github.com/FilippoMB"
 
   - name: "Benjamin Ricaud"
     image: "/figs/people/br.png"
     bio: Benjamin is an associate professor at the physics department in the Machine Learning group. His main research topics are Graph signal processing, Methods for exploring large graphs (web and social networks), Graphs in biology, Machine learning in audio and explainable AI, Sparsity in data and models.
     webpage: "https://bricaud.github.io/"
     scholar: "https://scholar.google.fr/citations?user=muGuSyoAAAAJ"
     twitter: "https://x.com/GBR_data"
+    github: "https://github.com/bricaud"
 
 
 phd:
   - name: "Michele Guerra"
-    image: "/figs/people/default.png"
+    image: "/figs/people/mg.png"
     bio: "Michele is a PhD student researching randomized and trainable models for time series and graphs. The focus of is research is on uncertainty quantification and interpretability."
+    scholar: https://scholar.google.ca/citations?user=HzMTPo0AAAAJ&hl=en&oi=ao
 
   - name: "Jonas Berg Hansen"
     bio: "Jonas is a PhD student researching pooling in graph neural networks."

_data/publications.yml

@@ -0,0 +1,32 @@
+- title: "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling"
+  authors: "Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi"
+  venue: "ICML 2024"
+  figure: "figs/publications/hdtts.png"
+  abstract: "Given a set of synchronous time series, each associated with a sensor-point in space and characterized by inter-series relationships, the problem of spatiotemporal forecasting consists of predicting future observations for each point. Spatiotemporal graph neural networks achieve striking results by representing the relationships across time series as a graph. Nonetheless, most existing methods rely on the often unrealistic assumption that inputs are always available and fail to capture hidden spatiotemporal dynamics when part of the data is missing. In this work, we tackle this problem through hierarchical spatiotemporal downsampling. The input time series are progressively coarsened over time and space, obtaining a pool of representations that capture heterogeneous temporal and spatial dynamics. Conditioned on observations and missing data patterns, such representations are combined by an interpretable attention mechanism to generate the forecasts. Our approach outperforms state-of-the-art methods on synthetic and real-world benchmarks under different missing data distributions, particularly in the presence of contiguous blocks of missing values."
+  github: "https://github.com/marshka/hdtts"
+  arxiv: "https://arxiv.org/abs/2402.10634"
+  bibtex: |
+    @inproceedings{marisca2024graph,
+      title     = {Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling},
+      author    = {Marisca, Ivan and Alippi, Cesare and Bianchi, Filippo Maria},
+      booktitle = {Proceedings of the 41st International Conference on Machine Learning},
+      pages     = {34846--34865},
+      year      = {2024},
+      volume    = {235},
+      series    = {Proceedings of Machine Learning Research},
+      publisher = {PMLR}
+    }
+
+- title: "MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks"
+  authors: "Carlo Abate, Filippo Maria Bianchi"
+  figure: "figs/publications/maxcutpool.png"
+  abstract: "We propose a novel approach to compute the MAXCUT in attributed graphs, i.e., graphs with features associated with nodes and edges. Our approach is robust to the underlying graph topology and is fully differentiable, making it possible to find solutions that jointly optimize the MAXCUT along with other objectives. Based on the obtained MAXCUT partition, we implement a hierarchical graph pooling layer for Graph Neural Networks, which is sparse, differentiable, and particularly suitable for downstream tasks on heterophilic graphs."
+  github: "https://github.com/NGMLGroup/MaxCutPool"
+  arxiv: "https://arxiv.org/abs/2409.05100"
+  bibtex: |
+    @article{abate2024maxcutpool,
+      title={MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks},
+      author={Abate, Carlo and Bianchi, Filippo Maria},
+      journal={arXiv preprint arXiv:2409.05100},
+      year={2024}
+    }

_includes/footer.html

@@ -5,12 +5,8 @@
 
     <div class="footer-col-wrapper">
       <div class="footer-col">
-        <p class="feed-subscribe">
-          <a href="{{ site.feed.path | default: 'feed.xml' | absolute_url }}">
-            <svg class="svg-icon orange">
-              <use xlink:href="{{ 'assets/minima-social-icons.svg#rss' | relative_url }}"></use>
-            </svg><span>Subscribe</span>
-          </a>
+        <p class="social-links">
+          {%- include social.html -%}
         </p>
       {%- if site.author %}
         <ul class="contact-list">
@@ -28,10 +24,6 @@
       </div>
     </div>
 
-    <div class="social-links">
-      {%- include social.html -%}
-    </div>
-
   </div>
 
 </footer>

_includes/header.html

@@ -4,7 +4,12 @@
     {%- assign default_paths = site.pages | map: "path" -%}
     {%- assign page_paths = site.header_pages | default: default_paths -%}
     {%- assign titles_size = site.pages | map: 'title' | join: '' | size -%}
-    <a class="site-title" rel="author" href="{{ "/" | relative_url }}">{{ site.title | escape }}</a>
+      <div class="branding">
+        <a href="{{ "/" | relative_url }}" class="logo-link">
+          <img src="{{ '/figs/NGMLGlogo.png' | relative_url }}" alt="{{ site.title }}" class="site-logo" />
+          <span class="site-title">{{ site.title }}</span>
+        </a>
+      </div>
 
     {%- if titles_size > 0 -%}
       <nav class="site-nav">

_layouts/base.html

@@ -3,7 +3,6 @@
 
   <head>
     <!-- Other head content -->
-    <link rel="stylesheet" href="{{ '/assets/css/styles.css' | relative_url }}">
     <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css">
   </head>
 

_news/relay.md

@@ -5,9 +5,10 @@ date: 2023-11-01
 published: true
 ---
 
-<img src="https://raw.githubusercontent.com/NGMLGroup/NGMLGroup.github.io/main/figs/overview.png" style="width: 15cm" align="center">
+
+![Relay]({{ '/figs/news/relay.png' | relative_url }}){: .align-center style="width: 65%;"}
 
 The RELAY project at UiT The Arctic University of Norway is centered on pioneering basic research and applications within energy analytics. It focuses on advancing machine learning for analyzing time series and graphs, specifically through the development of novel tools and methods for processing spatio-temporal data and enhancing deep learning models. The project encompasses four key research areas: randomized architectures, multi-scale representations, uncertainty quantification, and interpretability. Additionally, it aims to apply these advancements to address challenges in energy systems, collaborating with industrial partners in Northern Norway to improve load forecasting, optimize power flow dynamically, and localize outages more effectively.
 
 
-The project was funded by the Norwegian Research Council and will last 4 years. For more detailed information, please visit the project's page [here](https://en.uit.no/project/relay/Project%20Description%20(page%20name)).
+The project is funded by the Norwegian Research Council and will last 4 years. For more detailed information, please visit the project's page [here](https://en.uit.no/project/relay/Project%20Description%20(page%20name)).