History of thgl_forum
The changes to the source code of this entry in the repository, newest first, each with the differences it made to the entry's files. They are also listed on GitLab.
[entries] Add the date when each entry was added, and remove icon_hash beff7c9
The dates are those of the commits that first added the entries' files (2020-08-11 for the entries of the initial commit); renamed entries keep the date of their first name. Changed: none
diff --git a/entries/thgl_forum/__init__.py b/entries/thgl_forum/__init__.py
index f774f49..78329d3 100644
--- a/entries/thgl_forum/__init__.py
+++ b/entries/thgl_forum/__init__.py
@@ -38,7 +38,7 @@ url = ['https://tgb.complexdatalab.com/docs/thg/',
'https://github.com/shenyangHuang/TGB']
citation = [('J. Gastinger, S. Huang, M. Galkin, E. Loghmani, A. Parviz, F. Poursafaei, J. Danovitch, E. Rossi, I. Koutis, H. Stuckenschmidt, R. Rabbany, G. Rabusseau, "TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs." Advances in Neural Information Processing Systems 37 (Datasets and Benchmarks Track) (2024)', 'https://doi.org/10.48550/arXiv.2406.09639'),
('A. Nadiri, F. W. Takes, "A large-scale temporal analysis of user lifespan durability on the Reddit social media platform." Companion Proceedings of the Web Conference 2022, 677-685 (2022)', 'https://doi.org/10.1145/3487553.3524699')]
-icon_hash = None
+date_added = '2026-10-27'
upstream_license = ('CC BY-NC 2.0', 'https://creativecommons.org/licenses/by-nc/2.0/')
upstream_prefix = 'https://object-arbutus.alliancecan.ca/swift/v1/14c95234f6cd4a21a47deafe20cce2a7/tgb'
files = [(('thgl-forum.zip:thgl-forum_edgelist.csv',
[entries] Prefix the properties in the descriptions with (Node), (Edge) or (Graph) bc3dbbd
The lists of properties at the end of the descriptions marked edge properties with "Edge" but left node properties unmarked, or grouped them in "Nodes: `a`, ...; `b`, ..." items, so the kind of a property was often unclear. Every item now starts with (Node), (Edge) or (Graph), followed by the property names, a colon and the explanation, one item per property or group of properties; qualifications (kinds of nodes, networks) follow the names in parentheses. Properties that were only named got a short explanation, and a few items that named the wrong kind of property were corrected.
diff --git a/entries/thgl_forum/__init__.py b/entries/thgl_forum/__init__.py
index c108350..f774f49 100644
--- a/entries/thgl_forum/__init__.py
+++ b/entries/thgl_forum/__init__.py
@@ -28,11 +28,11 @@ description = """A temporal heterogeneous network of the comments posted on Redd
The network has the following properties:
-- `is_subreddit`: whether the node is a subreddit (otherwise a user).
-- Edge `relation`: `reply` (from a user to the user replied to) or `post` (from a user to a subreddit).
-- Edge `time`: the time of the comment, in Unix time.
-- Edge `num_words`: the number of words of the comment.
-- Edge `score`: the score of the comment (upvotes minus downvotes)."""
+- (Node) `is_subreddit`: whether the node is a subreddit (otherwise a user).
+- (Edge) `relation`: `reply` (from a user to the user replied to) or `post` (from a user to a subreddit).
+- (Edge) `time`: the time of the comment, in Unix time.
+- (Edge) `num_words`: the number of words of the comment.
+- (Edge) `score`: the score of the comment (upvotes minus downvotes)."""
tags = ['Social', 'Online', 'Communication', 'Unweighted', 'Multigraph', 'Timestamps', 'Metadata']
url = ['https://tgb.complexdatalab.com/docs/thg/',
'https://github.com/shenyangHuang/TGB']
[entries] Remove unneeded code from the entries 2c69f19
Unneeded "global files" statements, unused imports and variables, f-strings without placeholders, duplicate keys in foodweb_little_rock (keeping the order and the values used), and the second definition of get_lines() in twitter_higgs. Nothing changes in the networks or descriptions. Changed: none
diff --git a/entries/thgl_forum/__init__.py b/entries/thgl_forum/__init__.py
index 2b987aa..c108350 100644
--- a/entries/thgl_forum/__init__.py
+++ b/entries/thgl_forum/__init__.py
@@ -52,7 +52,6 @@ def fetch_upstream(force=False):
@coerce_props()
@annotate()
def parse(alts=None):
- global files
name = __name__.split(".")[-1]
for fnames, alt, fmt in files:
if alts is not None and alt not in alts:
[entries] New entry: thgl_forum 6349d0e
diff --git a/entries/thgl_forum/__init__.py b/entries/thgl_forum/__init__.py
new file mode 100644
index 0000000..2b987aa
--- /dev/null
+++ b/entries/thgl_forum/__init__.py
@@ -0,0 +1,78 @@
+#! /usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+# Copyright (C) 2026 Tiago de Paula Peixoto <tiago@skewed.de>
+#
+# This program is free software: you can redistribute it and/or modify it under
+# the terms of the GNU Affero General Public License as published by the Free
+# Software Foundation, either version 3 of the License, or (at your option) any
+# later version.
+#
+# This program is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+# FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more
+# details.
+#
+# You should have received a copy of the GNU Affero General Public License along
+# with this program. If not, see <http://www.gnu.org/licenses/>.
+
+
+
+import pandas
+
+from .. import *
+
+
+title = "Reddit comments of January 2014 (thgl-forum, TGB 2.0)"
+description = """A temporal heterogeneous network of the comments posted on Reddit in January 2014, from the `thgl-forum` dataset of the Temporal Graph Benchmark (TGB 2.0), extracted from the Reddit data of Nadiri and Takes (2022), based on the Pushshift collection of Reddit comments. The nodes are users and subreddits, and each comment gives two timestamped directed edges: one from its author to the user it replies to (`reply`), and one from its author to the subreddit it is posted in (`post`), both with the number of words and the score of the comment. Only the users and subreddits with at least 100 edges were kept by TGB. The users and subreddits are anonymized (they are identified only by indices).
+
+The network has the following properties:
+
+- `is_subreddit`: whether the node is a subreddit (otherwise a user).
+- Edge `relation`: `reply` (from a user to the user replied to) or `post` (from a user to a subreddit).
+- Edge `time`: the time of the comment, in Unix time.
+- Edge `num_words`: the number of words of the comment.
+- Edge `score`: the score of the comment (upvotes minus downvotes)."""
+tags = ['Social', 'Online', 'Communication', 'Unweighted', 'Multigraph', 'Timestamps', 'Metadata']
+url = ['https://tgb.complexdatalab.com/docs/thg/',
+ 'https://github.com/shenyangHuang/TGB']
+citation = [('J. Gastinger, S. Huang, M. Galkin, E. Loghmani, A. Parviz, F. Poursafaei, J. Danovitch, E. Rossi, I. Koutis, H. Stuckenschmidt, R. Rabbany, G. Rabusseau, "TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs." Advances in Neural Information Processing Systems 37 (Datasets and Benchmarks Track) (2024)', 'https://doi.org/10.48550/arXiv.2406.09639'),
+ ('A. Nadiri, F. W. Takes, "A large-scale temporal analysis of user lifespan durability on the Reddit social media platform." Companion Proceedings of the Web Conference 2022, 677-685 (2022)', 'https://doi.org/10.1145/3487553.3524699')]
+icon_hash = None
+upstream_license = ('CC BY-NC 2.0', 'https://creativecommons.org/licenses/by-nc/2.0/')
+upstream_prefix = 'https://object-arbutus.alliancecan.ca/swift/v1/14c95234f6cd4a21a47deafe20cce2a7/tgb'
+files = [(('thgl-forum.zip:thgl-forum_edgelist.csv',
+ 'thgl-forum.zip:thgl-forum_nodetype.csv'), None, None)]
+
+def fetch_upstream(force=False):
+ return fetch_upstream_files(__name__.split(".")[-1], upstream_prefix, files,
+ force)
+
+@cache_network()
+@coerce_props()
+@annotate()
+def parse(alts=None):
+ global files
+ name = __name__.split(".")[-1]
+ for fnames, alt, fmt in files:
+ if alts is not None and alt not in alts:
+ continue
+ with open_upstream_file(name, fnames[1], "rb") as f:
+ # "node_id,type": 0 for users, 1 for subreddits
+ ntypes = pandas.read_csv(f, dtype="int64").values
+ with open_upstream_file(name, fnames[0], "rb") as f:
+ # "ts,src,dst,relation_type,num_words,score": relation 0 for
+ # replies, 1 for posts
+ edges = pandas.read_csv(f, dtype="int64").values
+ N = len(ntypes)
+ assert (ntypes[:, 0] == numpy.arange(N)).all()
+ g = Graph(directed=True)
+ g.add_vertex(N)
+ g.vp.is_subreddit = g.new_vp("bool", vals=ntypes[:, 1])
+ g.add_edge_list(edges[:, [1, 2]])
+ g.ep.relation = g.new_ep("string", vals=numpy.array(["reply", "post"],
+ dtype=object)[edges[:, 3]])
+ g.ep.time = g.new_ep("int64_t", vals=edges[:, 0])
+ g.ep.num_words = g.new_ep("int", vals=edges[:, 4])
+ g.ep.score = g.new_ep("int", vals=edges[:, 5])
+ yield alt, g