maxcutpool accepted

Author: FilippoMB

_data/publications.yml

@@ -34,6 +34,7 @@
 
 - title: "MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks"
   authors: "Carlo Abate, Filippo Maria Bianchi"
+  venue: "ICLR 2025"
   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"

_news/accepted_maxcut.md

@@ -0,0 +1,14 @@
+---
+title: "Paper accepted at ICLR"
+layout: post
+date: 2025-01-23
+published: true
+---
+
+The paper "*MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks*" by **Carlo Abate** and **Filippo Maria Bianchi** has been accepted at ICLR 2025!
+
+<!--more-->
+
+The paper proposes a novel approach to compute a MaxCut partition in attributed graphs and can be used to implement pooling in Graph Neural Networks. It works particulary well on heterophilic graphs.
+
+The preprint is available on [Arxiv](https://arxiv.org/abs/2409.05100) and the code on [Github](https://github.com/NGMLGroup/MaxCutPool).

_news/pooling_blog.md

@@ -5,7 +5,7 @@ date: 2024-12-19
 published: true
 ---
 
-New blog on [Pooling in Graph Neural Networks](https://gnn-pooling.notion.site/)!
+A new blog on [Pooling in Graph Neural Networks](https://gnn-pooling.notion.site/) by **Filippo Maria Bianchi** is out!
 
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_news/preprint_bnpool.md

@@ -5,9 +5,7 @@ date: 2025-01-20
 published: true
 ---
 
-"*BN-Pool: a Bayesian Nonparametric Approach to Graph Pooling*"
-
-By **Daniele Castellana** & **Filippo Maria Bianchi**.
+The paper "*BN-Pool: a Bayesian Nonparametric Approach to Graph Pooling*" by **Daniele Castellana** & **Filippo Maria Bianchi** is out!
 
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_news/preprint_koopman_stgnn.md

@@ -5,9 +5,7 @@ date: 2024-10-15
 published: true
 ---
 
-"*Interpreting Temporal Graph Neural Networks with Koopman Theory*"
-
-By Michele Guerra, Simone Scardapane, and Filippo Maria Bianchi.
+The paper  "*Interpreting Temporal Graph Neural Networks with Koopman Theory*" by **Michele Guerra**, **Simone Scardapane**, and **Filippo Maria Bianchi** is out!
 
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_news/preprint_maxcut.md

@@ -5,9 +5,7 @@ date: 2024-09-10
 published: true
 ---
 
-"*MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks*"
-
-By Carlo Abate and Filippo Maria Bianchi.
+The paper "*MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks*" by **Carlo Abate** and **Filippo Maria Bianchi** is out!
 
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_news/relay.md

@@ -5,7 +5,7 @@ date: 2023-11-01
 published: true
 ---
 
-A new 4-years NFR project has been funded!
+A new 4-years NFR project has been funded! The project focuses on relational deep learning for energy analytics.
 
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